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About Us

Publications

The founders and staff of Complexica have authored hundreds of scientific publications, including the following selected books and articles. 

Books

  • Michalewicz, Z., Arantes, L., and Michalewicz, M., The Rise of Artificial Intelligence: Real-world applications for revenue and margin growth, Hybrid Publishers, Melbourne, Australia, March, 2021. Tlearn more about what Artificial Intelligence is and how it works, please watch our introductory AI video: www.complexica.com/riseofai/chapter1
  • Meyer, E., Falkner, N., Sooriamurthi, R., and Michalewicz, Z., A Guide to Teaching Puzzle-Based Learning, Springer, New York, 2014.
  • Michalewicz, Z. and Michalewicz, M., Puzzle-Based Learning: An Introduction to Critical Thinking, Mathematics, and Problem Solving, Kindle edition, Amazon Digital Services, 2014.
  • Michalewicz, Z. and Michalewicz, M., Puzzle-Based Learning: An Introduction to Critical Thinking, Mathematics, and Problem Solving, Polish translation, 2nd (corrected) edition, PJWSTK, Warsaw, 2013.
  • Michalewicz, Z. and Fogel, D.B., How to Solve It: Modern Heuristics, Greek translation, Paschalidis Publishers, Athens, Greece, 2013.
  • Chiong, R., Weise, Th., and Michalewicz, Z. (Editors), Variants of Evolutionary Algorithms for Real-World Applications, Springer, New York, 2012.
  • Michalewicz, Z. and Michalewicz, M., Puzzle-Based Learning: An Introduction to Critical Thinking, Mathematics, and Problem Solving, Polish translation, PJWSTK, Warsaw, 2010.
  • Michalewicz, Z. and Michalewicz, M., Puzzle-Based Learning: An Introduction to Critical Thinking, Mathematics, and Problem Solving, Hybrid Publishers, Melbourne, Australia, 2008.
  • Hingston, P., Barone, L., and Michalewicz, Z. (Editors), Design by Evolution, Natural Computing Series, Springer, New York, 2008.
  • Michalewicz, Z. and Siarry, P. (Editors), Advances in Metaheuristics for Hard Optimization, Springer, New York, 2008.
  • Michalewicz, M. and Michalewicz, Z., Winning Credibility: A guide for building a business from rags to riches, 2nd extended edition, Hybrid Publishers, Melbourne, Australia, 2007.
  • Lima, C., Lobo, F., and Michalewicz, Z. (Editors), Parameter Setting in Evolutionary Algorithms, Springer Series Studies in Computational Intelligence, Springer, New York, 2007.
  • Michalewicz, Z., Schmidt, M., Michalewicz, M., Chiriac, C., Adaptive Business Intelligence, Springer, New York, 2007.
  • Michalewicz, M. and Michalewicz, Z., Winning Credibility: A guide for building a business from rags to riches, Hybrid Publishers, Melbourne, Australia, 2006.
  • Michalewicz, Z. and Fogel, D.B., How to Solve It: Modern Heuristics, Polish translation, Wydawnictwa Naukowo-Techniczne, Warsaw, Poland, 2006.
  • Michalewicz, M. and Michalewicz, Z., Wiarygodnosc: Klucz do sukcesu w biznesie, Polish translation of Winning Credibility: A guide for building a business from rags to riches, PJWSTK, Warsaw, Poland, 2005.
  • Bolc, L., Michalewicz, Z., and Nishida, T. (Editors), Proceedings of the Second Workshop on Intelligent Media Technology for Communicative Intelligence, Springer, Lecture Notes in Computer Science, New York, 2005.
  • Michalewicz, Z. and Fogel, D.B., How to Solve It: Modern Heuristics, 2nd extended edition, Springer, New York, 2004.
  • Michalewicz, Z. and Fogel, D.B., How to Solve It: Modern Heuristics, Chinese translation, Beijing Multi-Channel Electronic Information Co., Ltd., Beijing, 2003.
  • Baeck, T., Fogel, D.B., and Michalewicz, Z. (Editors), Evolutionary Computation: Advanced Algorithms and Operators, Institute of Physics, London, 2000.
  • Baeck, T., Fogel, D.B., and Michalewicz, Z. (Editors), Evolutionary Computation: Basic Algorithms and Operators, Institute of Physics, London, 2000.
  • Michalewicz, Z. and Fogel, D.B., How to Solve It: Modern Heuristics, Springer, New York, 2000.
  • Michalewicz, Z., Genetic Algorithms + Data Structures = Evolution Programs, Chinese translation, Science Press, Beijing, 2000.
  • Michalewicz, Z., Schoenauer, M., Yao, X, and Zazala, A., Proceedings of the Congress on Evolutionary Computation, IEEE Press, Piscataway, NJ, Washington, DC, July 6 – 9, 1999, Vol.1, 2, and 3.
  • Eiben, A.E. and Michalewicz, Z. (Editors), Evolutionary Computation, IOS Press, Amsterdam, 1998.
  • Michalewicz, Z., Genetic Algorithms + Data Structures = Evolution Programs, Korean translation, Green Publishing Co., Seoul, 1998.
  • Baeck, T., Michalewicz, Z., Xin, Y., (Editors), Proceedings of the Fourth IEEE International Conference on Evolutionary Computation, IEEE Press, Piscataway, NJ, Indianapolis, April 13 – 16, 1997.
  • Dasgupta, D. and Michalewicz, Z., (Editors), Evolutionary Algorithms in Engineering Applications, Springer, New York, 1997.
  • Baeck, T., Fogel, D.B., and Michalewicz, Z. (Editors), Handbook of Evolutionary Computation, joint publication of Oxford University Press and Institute of Physics, 1997.
  • Michalewicz, Z., Genetic Algorithms + Data Structures = Evolution Programs, Polish translation, Wydawnictwa Naukowo-Techniczne, Warsaw, 1997.
  • Baeck, T., Fukuda, T., Michalewicz, Z., (Editors), Proceedings of the Third IEEE International Conference on Evolutionary Computation, IEEE Press, Piscataway, NJ, Nagoya, May 20 – 22, 1996.
  • Michalewicz, Z., Genetic Algorithms + Data Structures = Evolution Programs, Springer, New York, 3rd (extended) edition, 1996.
  • Michalewicz, Z., Kitano, H., Schaffer, D., Schwefel, H.-P., Fogel, D.B., (Editors), Proceedings of the First IEEE International Conference on Evolutionary Computation, IEEE Press, Piscataway, NJ, Volume 2, Orlando, 27 – 29 June, 1994.
  • Michalewicz, Z., Kitano, H., Schaffer, D., Schwefel, H.-P., Fogel, D.B., (Editors), Proceedings of the First IEEE International Conference on Evolutionary Computation, IEEE Press, Piscataway, NJ, Volume 1, Orlando, 27 – 29 June, 1994.
  • Michalewicz, Z., Genetic Algorithms + Data Structures = Evolution Programs, Springer, New York, 2nd (extended) edition, 1994.
  • Michalewicz, Z., Genetic Algorithms + Data Structures = Evolution Programs, Springer, Artificial Intelligence Series, New York, 1992.
  • Michalewicz, Z., (Editor), Statistical and Scientific Databases, Ellis Horwood, London, 1991.
  • Michalewicz, Z., (Editor), Proceedings of the 5th International Conference on Statistical and Scientific Database Management, Charlotte, April 3 – 5, 1990, Springer, Lecture Notes in Computer Science, No.420.
  • Michalewicz, Z., Security of Statistical Databases, Polish Scientific Publishers, Warsaw, 1982 (in Polish).

Chapters in Books

  • Bonyadi, M.R., Michalewicz, Z, Neumann, F. and Wagner, M., Evolutionary computation for multi-component problems: Opportunities and future directions, in Optimization in Industry - Present Practices and Future Scopes, S. Datta and J. P. Davim (Editors), Springer, 2018
  • Bonyadi, M.R. and Michalewicz, Z., Evolutionary Computation for Real-world Problems, in Challenges in Computational Statistics and Data Mining, Jan Mielniczuk and Stan Matwin (Editors), Springer, 2015.
  • Bonyadi, M.R. and Michalewicz, Z., Locating potentially disjoint feasible regions of a search space with a particle swarm optimizer, in Evolutionary Constrained Optimization, Rituparna Datta and Kalyanmoy Deb (Editors), Springer, 2015.
  • Ibrahimov M., Mohais, A., Ozols, M., Schellenberg, S., and Michalewicz Z., Advanced Planning in Vertically Integrated Wine Supply Chains, in Evolutionary Computation for Dynamic Optimization Problems, Shengxiang Yang and Xin Yao (Editors), Springer, series on Studies in Computational Intelligence, 2013.
  • Sooriamurthi, R., Meyer, E., and Michalewicz, Z., Puzzle-Based Learning, in Technology Enhanced Learning, Jelena Jovanovic and Raymond Chiong (Editors), Informing Science Institute, 2013.
  • Michalewicz, Z. and Schoenauer, M., Evolutionary Algorithms, Encyclopedia of Operations Research & Management Science, Saul Gass and Michael Fu (Editors-in-Chief), 3rd Edition, Springer, 2012.
  • Michalewicz, Z., Quo Vadis, Evolutionary Computation? On a growing gap between theory and practice, Springer LNCS 7311, J. Liu, C. Alippi, B. Bouchon-Meunier, G. Greenwood, H. Abbass (Editors), pp. 98 – 121, 2012.
  • Blum, Ch., Chiong, R., Clerc, M., De Jong, K., Michalewicz, Z., Neri, F., and Weise, Th., Evolutionary Optimization, in Chiong, R., Weise, Th., and Michalewicz, Z. (Editors), Variants of Evolutionary Algorithms for Real-World Applications, Springer, 2012.
  • Schellenberg, S., Mohais, A., Ibrahimov M., Wagner N., and Michalewicz Z., A Fuzzy-Evolutionary Approach to the Problem of Optimisation and Decision-Support in Supply Chain Networks, in Chiong, R., Weise, Th., and Michalewicz, Z. (Editors), Variants of Evolutionary Algorithms for Real-World Applications, Springer, 2012.
  • Mohais, A., Ibrahimov M., Schellenberg, S., Wagner N., and Michalewicz Z., An Evolutionary Approach to Practical Constraints in Scheduling: A Case-Study of the Wine Bottling Problem, in Chiong, R., Weise, Th., and Michalewicz, Z. (Editors), Variants of Evolutionary Algorithms for Real-World Applications, Springer, 2012.
  • Falkner, N, Sooriamurthi, R., and Michalewicz, Z., Puzzle-Based Learning: The first three years, in Colin Kestell and Steven Grainger (Editors), Engineering Education – An Australian Perspective, Multi-Science Publishing, 2012.
  • Michalewicz, Z., Ibrahimov, M., and Mohais, A., Applicational of Evolutionary Methods for Complex Industrial Problems, chapter in Evolutionary and Deterministic Methods for Design, Optimization, and Control, T. Burczynski and J. Periaux (Eds), 2011.
  • Ibrahimov M., Mohais, A., Schellenberg, S., and Michalewicz Z., Advanced planning in vertically integrated supply chains, in Intelligent Decision Systems in Large-Scale Distributed Environments, P. Bouvry, H. González-Vèlez, and J. Kołodziej (Editors), Springer, 2011.
  • Michalewicz, Z. and Schoenauer, M., Evolutionary Algorithms, Wiley Encyclopedia of Operations Research and Management Science, 2011.
  • Avery, P. and Michalewicz, Z., Adapting to Human Gamers using Coevolution, in Advances in Machine Learning, J. Kacprzyk (Ed), Springer, 2010.
  • Buckley, M., Michalewicz, Z., and Zurbruegg, R., An Application of Genetic Programming to Forecasting Foreign Exchange Rates, Raymond Chiong (Editor), Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering, IGI Global, Hershey, PA, 2010.
  • Ghandar, A., Michalewicz, Z., and Zurbruegg, R., Intelligent Decision Support: A Fuzzy Stock Ranking System, M. Marciniak and A. Mykowiecka (Editors), Aspects of Natural language Processing, Lecture Notes in Computer Science 5070, Springer, 2009.
  • Wagner, N. and Michalewicz, Z., Adaptive and Self-adaptive Techniques for Evolutionary Forecasting Applications Set in Dynamic and Uncertain Environments, Ajith Abraham, Aboul Ella Hassanien and André Ponce de Leon F. de Carvalho (Editors), Foundation in Computational Intelligence, Vol.4, Springer, series Studies in Computational Intelligence, 2009. 
  • Ibrahimov. M., Mohais, A., and Michalewicz, Z., Global Optimization in Supply Chain Operations, Raymond Chiong and Sandeep Dhakal (Editors), Natural Intelligence for Scheduling, Planning and Packing Problems, Springer, 2009.
  • Michalewicz, Z., Adaptive Business Intelligence, section in Encyclopedia of Artificial Intelligence, Rabuñal, J.R., Dorado, J. and Pazos, A., IGI Global, Hershey, PA May 2008.
  • Ghandar, A., Michalewicz, Z., Schmidt, M., To, T.-D., Zurbruegg, R., Evolving Trading Rules, chapter in Success in Evolutionary Computation, Yang, A., Shan, Y., and Bui, T. (Editors), Springer, 2008.
  • Michalewicz, Z. and Schmidt, M., Parameter Control in Practice, chapter in Parameter Setting in Evolutionary Algorithms, Lima, C., Lobo, F., and Michalewicz, Z. (Editors), Springer Series Studies in Computational Intelligence, 2007.
  • Wagner, N. and Michalewicz, Z., Parameter Adaptation for GP Forecasting Application, chapter in Parameter Setting in Evolutionary Algorithms, Lima, C., Lobo, F., and Michalewicz, Z. (Editors), Springer Series Studies in Computational Intelligence, 2007.
  • Eiben, A.E., Michalewicz, Z., Schoenauer, M., and Smith, J., Parameter Control in Evolutionary Algorithms, chapter in Parameter Setting in Evolutionary Algorithms, Lima, C., Lobo, F., and Michalewicz, Z. (Editors), Springer Series Studies in Computational Intelligence, 2007.
  • Michalewicz, Z. Schmidt, M., Michalewicz, M., and Chiriac, C., Adaptive Business Intelligence: Three Case Studies, chapter in Evolutionary Computation in Dynamic and Uncertain Environments, S. Yang, Y.S. Ong, and Y. Jin (Editors), Springer, 2007.
  • Śmierzchalski, R. and Michalewicz, Z., Path Planning in Dynamic Environments, chapter in Innovations in Robot Mobility and Control, S. Patnaik, L.C. Jain, S.G. Tzafestas, G. Resconi, and A. Konar (Editors), Springer, 2006.
  • Michalewicz, Z., Evolutionary Algorithms in Engineering Applications, chapter in Handbook on Theory and Engineering Applications of Computational Methods, International Center for Numerical Methods in Engineering, Barcelona, Spain, 2005.
  • Michalewicz, Z. and Schoenauer, M., Evolutionary Algorithms, in Encyclopedia of Information Systems, Academic Press, 2003.
  • Michalewicz, Z. and Schmidt, M., TCG-2: A Test-case Generator for Non-linear Parameter Optimization Problems, chapter in Advances in Evolutionary Computations, A. Ghosh and S. Tsutsui (Editors), Springer, 2003.
  • Michalewicz, Z., Eiben, A.E., and Hinterding, R., Parameter Selection, chapter in Evolutionary Computation, Kluwer Academic, 2001.
  • Michalewicz, Z. and Schmidt, M., Evolutionary Algorithms and Constrained Optimization, chapter in Evolutionary Computation, Kluwer Academic, 2001.
  • Michalewicz, Z. and Schoenauer, M., Evolutionary Algorithms, in Encyclopedia of Operations Research & Management Science, 2nd edition, Kluwer Academic, 1999.
  • Michalewicz, Z. and Schoenauer, M., Evolutionary Algorithms for Constrained Parameter Optimization Problems, chapter in Evolutionary Computations and Intelligent Systems, Gordon and Breach, 1999.
  • Xiao, J. and Michalewicz, Z., An Evolutionary Computation Approach to Planning and Navigation, chapter in Soft-Computing and Mechatronics, K. Hirota and T. Fukuda (Editors), Physica-Verlag, 1999.
  • Michalewicz, Z., Hinterding, R., and Michalewicz, M., Evolutionary Algorithms, Chapter 2 in Fuzzy Evolutionary Computation, W. Pedrycz (Editor), Kluwer Academic, 1997.
  • Dasgupta, D. and Michalewicz, Z., Evolutionary Algorithms – An Overview, Chapter 1 of Evolutionary Algorithms in Engineering Applications, D. Dasgupta and Z. Michalewicz (Editors), Springer, New York, 1997.
  • Baeck, T. and Michalewicz, Z., Test Landscapes, section B2.7.4 of Handbook of Evolutionary Computation, Oxford University Press and Institute of Physics, New York, 1997.
  • Michalewicz, Z., Nonlinear optimization, section G9.15 of Handbook of Evolutionary Computation, Oxford University Press and Institute of Physics, New York, 1997.
  • Michalewicz, Z., The transportation problem, section G9.14 of Handbook of Evolutionary Computation, Oxford University Press and Institute of Physics, New York, 1997.
  • Michalewicz, Z., Handling constraints in genetic algorithms, section G9.1 of Handbook of Evolutionary Computation, Oxford University Press and Institute of Physics, New York, 1997.
  • Michalewicz, Z., Other constraint handling methods, section C5.6 of Handbook of Evolutionary Computation, Oxford University Press and Institute of Physics, New York, 1997.
  • Michalewicz, Z., Constraint-preserving operators, section C5.5 of Handbook of Evolutionary Computation, Oxford University Press and Institute of Physics, New York, 1997.
  • Michalewicz, Z., Repair algorithms, section C5.4 of Handbook of Evolutionary Computation, Oxford University Press and Institute of Physics, New York, 1997.
  • Michalewicz, Z., Decoders, section C5.3 of Handbook of Evolutionary Computation, Oxford University Press and Institute of Physics, New York, 1997.
  • Michalewicz, Z., Introduction, section C5.1 of Handbook of Evolutionary Computation, Oxford University Press and Institute of Physics, New York, 1997.
  • Michalewicz, Z., Introduction, section C3.1 of Handbook of Evolutionary Computation, Oxford University Press and Institute of Physics, New York, 1997.
  • Michalewicz, Z., Derivative methods: Hybrid methods, section B1.5.3 of Handbook of Evolutionary Computation, Oxford University Press and Institute of Physics, New York, 1997.
  • Michalewicz, Z., Genetic Algorithms, in Encyclopedia of Operations Research & Management Science, C. Harris and S. Gass (Editors), Kluwer Academic, 1996, pp.250 – 252.
  • Michalewicz, Z. and Michalewicz, M., Pro-Life versus Pro-Choice Strategies in Evolutionary Computation Techniques, Chapter 10 in Computational Intelligence: A Dynamic System Perspective, M. Palaniswami, Y. Attikiouzel, R.J. Marks, D. Fogel, and T. Fukuda (Editors), IEEE Press, 1995, pp.137 – 151.
  • Michalewicz, Z., Evolutionary Computation and Heuristics, Chapter 3 in Meta-heuristics: Theory & Applications, I.H. Osman and J.P. Kelly (Editors), Kluwer Academic, 1995.
  • Michalewicz, Z., Security of a Statistical Database, Chapter 13 in Statistical and Scientific Databases, Ellis Horwood, 1991.

Articles in Journals

  • Olech, Ł., Spytkowski, M., Kwaśnicka, H., and Michalewicz, Z., Hierarchical Data Generator based on Tree-Structured Stick Breaking Process for Benchmarking Clustering Methods, Information Sciences, 2021. 
  • Zhang, W. E., Shemshadi, A., Sheng, Q. Z., Qin, Y., Xu, X., Yang, J., "A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data", IEEE Transactions on Big Data, Vol. 7, No. 2, pp. 327 – 340, June 2021. 
  • Xiang Li, Ali Shemshadi, Łukasz P. Olech, Zbigniew Michalewicz Customer Wallet Share Estimation for Manufacturers Based on Transaction Data. Conference paper. Springer, 23 November 2019
  • Yao, L., Sheng, Q. Z., Benatallah, B., Dustdar, S., Wang, X., Shemshadi, A., Kanhere, S., WITS An IoT-endowed Computational Framework for Activity Recognition in Personalised Smart Homes, Computing, Springer, 2018. 
  • Przybyłek, M.R., Wierzbicki, A., and Michalewicz, Z., Decomposition Algorithms for a Multi-hard Problem, Evolutionary Computation, Vol. 26, No. 3, pp. 507 – 533, September 2018.
  • Zhang, W. E., Sheng, Q. Z., Yao, L., Taylor, K., Shemshadi, A., and Qin, Y., A Learning-Based Framework for Improving Querying on Web Interfaces of Curated Knowledge Bases, ACM Transactions on Internet Technology (TOIT), Vol.18, No.3, 2018
  • Myszkowski P.B., Olech Ł.P., Laszczyk M., and Skowroński M.E., Hybrid Differential Evolution and Greedy Algorithm (DEGR) for solving Multi-Skill Resource-Constrained Project Scheduling Problem, Applied Soft Computing, Vol. 62, pp. 1 – 14, January 2018. 
  • Bonyadi, M.R., and Michalewicz, Z, Impacts of coefficients on movement patterns in the particle swarm optimization algorithm, IEEE Transactions on Evolutionary Computation, Vol. 21, No. 3, pp. 378 – 390, June 2017. 
  • Bonyadi, M.R. and Michalewicz, Z., Particle swarm optimization for single objective continuous space problems: a review, Evolutionary Computation, Vol. 25, No. 1, pp. 1 – 54, 2017
  • Shemshadi, A., Sheng, Q. Z., Qin, Y., The Anatomy of an Intent Based Search and Crawler Engine for the Web of Things, Managing the Web of Things, 37-72. 2017
  • Shemshadi, A., Sheng, Q. Z., Qin, Y., Sun, A., Zhang, W. E., Yao, L., Searching for the internet of things: Where it is and what it looks like, Personal and Ubiquitous Computing, Springer London, 21(6), pp.1097 – 1112, 2017
  • Bonyadi, M.R. and Michalewicz, Z., Stability analysis of the particle swarm optimization without stagnation, IEEE Transactions on Evolutionary Computation, Vol. 20, No. 5, pp. 814 – 819, October 2016
  • Bonyadi, M.R. and Michalewicz, Z., Analysis of stability, local convergence, and transformation sensitivity of a variant of particle swarm optimization algorithm, IEEE Transactions on Evolutionary Computation, Vol. 20, No. 3, pp. 370 – 385, June 2016
  • Bonyadi, M.R., Michalewicz, Z., Nallaperuma, S., and Neumann, F., Ahura: a heuristic-based racer for simulated car racing, IEEE Transactions on Computational Intelligence and AI in Games, Vol. 9, No. 3, pp. 290 – 304, May 2016
  • Ghandar, A., Michalewicz, Z., and Zurbruegg, R., The relationship between model complexity and forecasting performance for computer intelligence optimization in finance, International Journal of Forecasting, Vol. 32, No. 3, pp. 598 – 613, 2016
  • Shemshadi, A., Sheng, Q. Z., Qin, Y., Efficient pattern matching for graphs with multi-Labeled nodes. Knowledge-Based Systems, Elsevier, 109, pp. 256 – 265, 2016
  • Myszkowski P.B., Skowroński M.E., Olech Ł.P., and Oślizło K., Hybrid ant colony optimization in solving multi-skill resource-constrained project scheduling problem, Soft Computing, Vol. 19, Issue 12, pp. 3599 – 3619, September 2014
  • Ghandar, A., Michalewicz, Z., and Zurbruegg, R., The relationship between model complexity and forecasting performance for computer intelligence optimization in finance, International Journal of Forecasting, Volume 32, Issue 3, July–September 2016
  • Zhang, R. Chiong, R., Michalewicz, Z. and Chang P.–C., Sustainable scheduling of manufacturing and transportation systems, European Journal of Operations Research, Vol. 248, No. 3, pp. 741 – 743, February 2016.
  • Bonyadi, M.R. and Michalewicz, Z., Analysis of stability, local convergence, and transformation sensitivity of a variant of particle swarm optimization algorithm, IEEE Transactions on Evolutionary Computation, 2015.
  • Bonyadi, M.R., Li, X., and Michalewicz, Z., A hybrid particle swarm with a time-adaptive topology for constrained optimization, Swarm and Evolutionary Computation, Vol. 18, No. 1, pp. 22 – 37, 2014.
  • Bonyadi, M.R. and Michalewicz, Z., A locally convergent rotational invariant particle swarm optimizer, Swarm Intelligence, Vol. 8, No. 3, pp. 159 – 198, 2014.
  • Bonyadi, M.R. and Michalewicz, Z., An Analysis of the Velocity Updating Rule of Particle Swarm Optimization Algorithm, Journal of Heuristics, Vol. 20, No. 4, pp. 417 – 452, 2014.
  • Weise, Th., Chiong, R., Lässig, J., Tang, K., Tsutsui, S., Chen, W., Michalewicz, Z., and Yao, X., Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem, IEEE Computational Intelligence Magazine, Vol. 9, No. 3, pp. 40 – 52, August 2014.
  • Abello, M. and Michalewicz, Z., Implicit Memory-Based Technique in Solving Dynamic Scheduling Problems Through Response Surface Methodology - Part II, International Journal of Intelligent Computing and Cybernetics, Vol. 7, No. 2, pp.143 – 174, 2014.
  • Abello, M. and Michalewicz, Z., Implicit Memory-Based Technique in Solving Dynamic Scheduling Problems Through Response Surface Methodology - Part I, International Journal of Intelligent Computing and Cybernetics, Vol. 7, No. 2, pp.114 – 142, 2014.
  • Abello, M. and Michalewicz, Z., Multi-Objective Resource-Constrained Project Scheduling with Time-varying Number of Tasks, The Scientific World Journal, special issue on Recent Advances in Information Technology, Volume 2014, Article ID 420101, 35 pages, 2014.
  • Li, X., Bonyadi, M.R., Michalewicz, Z., and Barone, L., A Hybrid Evolutionary Algorithm for Wheat Blending Problem, The Scientific World Journal, special issue on Recent Advances on Bioinspired Computation, Volume 2014, Article ID 967254, 13 pages, 2014.
  • Ibrahimov M., Mohais, A., Schellenberg, S., and Michalewicz Z., Scheduling in Iron Ore Open-pit Mining, International Journal of Advanced Manufacturing Technology, Vol. 72, Issue 5-8, pp. 1021 – 1037, May 2014.
  • Stolk, J., Manna, I., Mohais, A., and Michalewicz, Z., Combining Vehicle Packing and Routing for Optimal Delivery Schedules of Water Tanks, OR Insight, Vol. 26, No. 3, pp.167–190, 2013.
  • Ibrahimov M., Mohais, A., Schellenberg, S., and Michalewicz Z., Evolutionary Approaches for Supply Chain Optimisation – Part 2, International Journal of Intelligent Computing and Cybernetics, Vol. 5, Issue 4, pp.473 – 499, 2012.
  • Ibrahimov M., Mohais, A., Schellenberg, S., and Michalewicz Z., Evolutionary Approaches for Supply Chain Optimisation – Part 1, International Journal of Intelligent Computing and Cybernetics, Vol. 5 Issue 4, pp.444 – 472, 2012.
  • Michalewicz, Z., The Emperor is Naked: Evolutionary Algorithms for Real-World Applications, ACM Ubiquity, November 2012, pp. 1 – 13.
  • Falkner, N., Sooriamurthi, R., and Michalewicz, Z., Teaching Puzzle-based Learning: Development of Transferable Skill, Teaching Mathematics and Computer Science, Vol. 10, No. 2, 2012, pp. 245 – 268.
  • Falkner, N., Sooriamurthi, R., and Michalewicz, Z., Teaching Puzzle-based Learning: Development of Basic Concepts, Teaching Mathematics and Computer Science, Vol.10, No.1, 2012, pp.183 – 204.
  • Bui, L., Michalewicz, Z., Parkinson, E. and Abello, M., Adaptation in Dynamic Environments: A Case Study in Mission Planning, IEEE Transactions on Evolutionary Computation, Vol.16, No.2, April 2012, pp.190 – 209.
  • Michalewicz, Z., Sooriamurthi, R., and Falkner, N, Puzzle-Based Learning: An Introduction to Critical Thinking and Problem Solving, Decision Line, Vol.42, No.5, October 2011, pp. 6 – 9.
  • Wagner, N., Michalewicz Z., Schellenberg, S., Chiriac, C., Ibrahimov M., and Mohais, A., Intelligent Techniques for Forecasting Multiple Time Series in Real-world Systems, International Journal of Intelligent Computing and Cybernetics, Vol.4, No.3, 2011, pp. 284 – 310.
  • Falkner, N, Sooriamurthi, R., and Michalewicz, Z., Puzzle-Based Learning for Engineering and Computer Science, IEEE Computer, Vol. 43, No. 4, April 2010, pp. 20 – 28.
  • Kotowski, S., Kosiński, W., Michalewicz, Z., Synak, P., Brocki, W., On Stability and Classification Tools for Genetic Algorithms, Fundamenta Informaticae, Vol. 96, No. 4, December 2009, pp. 477 – 491.
  • Ghandar, A., Michalewicz, Z., Schmidt, M., To, T.-D., and Zurbruegg, R., Computational Intelligence for Evolving Trading Rules, IEEE Transactions on Evolutionary Computation, Vol. 13, No. 1, February 2009, pp. 71 – 86.
  • Ghandar, A., Michalewicz, Z., and Zurbruegg, R., Return Performance Volatility and Adaptation in an Automated Technical Analysis Approach to Portfolio Management, Journal of Intelligent Systems in Accounting and Finance Management, Vol. 16, No. 1, January 2009, pp. 127 – 146.
  • Wagner, N., Khouja, M., Michalewicz, Z., and McGregor, R.R., Forecasting Economic Time Series with the DyFor Genetic Program Model, Journal of Applied Financial Economics, Vol. 18, No. 5, March 2008, pp. 357 – 378.
  • Michalewicz, Z. and Michalewicz. M., Machine Intelligence, Adaptive Business Intelligence, and Natural Intelligence, IEEE Computational Intelligence Magazine, Vol.3, No. 1, February 2008, pp. 54 – 63.
  • Avery, P., Michalewicz, Z., and Schmidt, M., Short and Long Term Memory in Coevolution, International Journal of Information Technology and Intelligent Computing, Vol.3, No.1, 2008.
  • Wagner, N., Michalewicz, Z., Khouja, M., and McGregor, R.R., Time Series Forecasting for Non-static Environments: the DyFor Genetic Program Model, IEEE Transactions on Evolutionary Computation, Vol. 11, No.4, 2007, pp. 433 – 452.
  • Johnson, R.W., Melich, M., Michalewicz, Z., and Schmidt, M., Coevolutionary Optimization of Fuzzy Logic Intelligence for Strategic Decision Support, IEEE Transactions on Evolutionary Computation, Vol. 9, No. 6, 2005, pp.682 – 694.
  • Michalewicz, Z., Schmidt, M., Michalewicz, M., and Chiriac, C., A Decision-Support System based on Computational Intelligence: A Case Study, IEEE Intelligent Systems, Vol.20, No.4, July-August 2005, pp.44 – 49.
  • Vergara, F.E., Khouja, M., and Michalewicz, Z., An Evolutionary Algorithm for Optimizing Material Flow in Supply Chains, Computers & Industrial Engineering, Vol.43, 2002, pp.407 – 421.
  • Ursem, R.K., Krink, T., Jensen, M.T., and Michalewicz, Z., Analysis and Modeling of Control Tasks in Dynamic Systems, IEEE Transactions on Evolutionary Computation, Vol.6, No.4, 2002, pp.378 – 389.
  • Michalewicz, Z., Two Aspects of Evolutionary Algorithms, Wuhan University Journal of Natural Sciences, Vol.4, No.4, 2000, pp.413 – 424.
  • Khouja, M., Michalewicz, Z., and Satoskar, S., A Comparison between Genetic Algorithms and the RAND Method for Solving the Joint Replenishment Problem, Production Planning & Control, Vol.11, No.6, 2000, pp.556 – 564.
  • Michalewicz, Z., Deb, K., Schmidt, M., and Stidsen, T., Test-case Generator for Constrained Parameter Optimization Techniques, IEEE Transactions on Evolutionary Computation, Vol.4, No.3, 2000, pp.197 – 215.
  • Kieś, P. and Michalewicz, Z., Foundations of Genetic Algorithms, Matematyka Stosowana, Vol.1, No.42, Warsaw, 2000, pp.68 – 91 (in Polish).
  • Śmierzchalski, R. and Michalewicz, Z., Modeling of Ship Trajectory in Collision Situations by an Evolutionary Algorithm, IEEE Transactions on Evolutionary Computation, Vol.4, No.3, 2000, pp.227 – 241.
  • Trojanowski, K. and Michalewicz, Z., Evolutionary Optimization in Non-Stationary Environments, Journal of Computer Science & Technology, special issue on Artificial Intelligence and Evolutionary Computation, Vol.1, No.2, 2000, pp.93 – 124.
  • Michalewicz, Z., Seven Methods for Transforming Corporate Data into Business Intelligence, review, Emergence: A Journal of Complexity Issues in Organizations and Management, Vol.1, No.2, 1999, pp.190 – 192.
  • Fogel, D.B. and Michalewicz, Z., Why Evolutionary Algorithms? Bulletin of the European Association for Theoretical Computer Science, No. 68, June 1999, pp. 115 – 133.
  • Eiben, A.E., Hinterding, R., and Michalewicz, Z., Parameter Control in Evolutionary Algorithms, IEEE Transactions on Evolutionary Computation, Vol.3, No.2, 1999, pp.124 – 141.
  • Michalewicz, Z., Esquivel, S., Gallard, R., Michalewicz, M., Tao, G., and Trojanowski, K., The Spirit of Evolutionary Algorithms, Journal of Computing and Information Technology, special issue on Evolutionary Computing, Vol.7, No.1, 1999, pp.1 – 18.
  • Kozieł, S. and Michalewicz, Z., Evolutionary Algorithms, Homomorphous Mappings, and Constrained Parameter Optimization, Evolutionary Computation, Vol.7, No.1, 1999, pp.19 – 44.
  • Khouja, M., Michalewicz, Z., and Wilmot, M., The Use of Genetic Algorithms to Solve the Lot Size Scheduling Problem, European Journal of Operations Research, Vol.110, 1998, pp. 509 – 524.
  • Wieczorek, J.P., Gol, O., and Michalewicz, Z., An Evolutionary Algorithm for the Optimal Design of Electromagnetic Devices, IEEE Transactions on Magnetics, Vol.34, No.6, November 1998, pp.3882 – 3887.
  • Khouja, M., Michalewicz, Z., and Vijayaragavan, P., Evolutionary Algorithm for Economic Lot and Delivery Scheduling Problem, Fundamenta Informaticae, Vol.35, No.1 – 4, August 1998, pp.113 – 123.
  • Cao, H., Kang, L., Michalewicz, Z., and Chen, Y., A Hybrid Evolutionary Modeling Algorithm for System of Ordinary Differential Equations, Neural, Parallel and Scientific Computations, Vol.6, No.2, June 1998, pp.171 – 188.
  • Hinterding, R. and Michalewicz, Z., Does Parent Matching Work for Constrained Optimisation?, Australian Journal of Intelligent Information Processing Systems, the special issue on Intelligent and Evolutionary Systems, Vol.4, No.3 – 4, Spring/Summer 1997, pp.186 – 195.
  • Schoenauer, M. and Michalewicz, Z., Evolutionary Computation, Control and Cybernetics, Vol.26, No.3, 1997, pp.307 – 338. 
  • Xiao, J., Michalewicz, Z., Zhang, L., and Trojanowski, K., Adaptive Evolutionary Planner/Navigator for Mobile Robots, IEEE Transactions on Evolutionary Computation, Vol.1, No.1, 1997, pp.18 – 28.
  • Michalewicz, Z. and Schoenauer, M., Evolutionary Algorithms for Constrained Parameter Optimization Problems, Evolutionary Computation, Vol.4, No.1, 1996, pp.1 – 32.
  • Michalewicz, Z. and Michalewicz, M., Evolutionary Computation: Main Paradigms and Current Directions, Journal of Applied Mathematics and Computer Science, Vol.6, No.3, 1996, pp.393 – 413.
  • Michalewicz, Z., Dasgupta, D., Le Riche, R.G., and Schoenauer, M., Evolutionary Algorithms for Constrained Engineering Problems, Computers & Industrial Engineering Journal, Vol.30, No.4, September 1996, pp.851 – 870.
  • Michalewicz, Z., Heuristic Methods for Evolutionary Computation Techniques, Journal of Heuristics, Vol.1, No.2, 1995, pp.177 – 206.
  • Michalewicz, Z., Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, review, IEEE Transactions on Neural Networks, Vol.6, No.5, September 1995, p.1304.
  • Michalewicz, Z., Genetic Algorithms in Optimization, Simulation and Modeling, review, Control Engineering Practice, Vol.3, No.7, July 1995, pp.1053 – 1054.
  • Michalewicz, Z., Genetic Programming, review, IEEE Computer, Vol.28, No.2, February, 1995, pp.108 – 109.
  • Michalewicz, Z., Nonstandard Methods in Evolutionary Computation, Statistics and Computing, special issue on evolutionary computation, Vol.4, No.2, 1994, pp.141 – 155.
  • Michalewicz, Z., Evolutionary Computation, Statistics and Computing, special issue on evolutionary computation, Vol.4, No.2, 1994, pp.49 – 50.
  • Muddappa, S., Makki, R., Michalewicz, Z., and Isukapalli, S., A New Tool for Encoding Finite State Machines Based on Evolution Programs, Journal of VLSI Design, special issue on Logic Synthesis, Vol.2, No.2, 1994, pp.105 – 116.
  • Michalewicz, Z., Evolutionary Computation Techniques for Nonlinear Programming Problems, International Transactions in Operational Research, Vol.1, No.2, 1994, pp.223 – 240.
  • Michalewicz, Z., A Hierarchy of Evolution Programs: An Experimental Study, Evolutionary Computation, Vol.1, No.1, 1993, pp.51 – 76.
  • Michalewicz, Z. and Janikow, C., GENOCOP: A Genetic Algorithm for Numerical Optimization Problems with Linear Constraints, Communications of the ACM, December 1996 (accepted in 1991), p.118.
  • Michalewicz, Z., Janikow, C., and Krawczyk, J., A Modified Genetic Algorithm for Optimal Control Problems, Computers & Mathematics with Applications, Vol.23, No.12, 1992, pp.83 – 94.
  • Michalewicz, Z., and Janikow, C., Genetic Algorithms for Numerical Optimization, Statistics and Computing, Vol.1, No.2, 1991, pp.75 – 91.
  • Michalewicz, Z., Vignaux, G.A., and Hobbs, M., A Non-Standard Genetic Algorithm for the Nonlinear Transportation Problem, ORSA Journal on Computing, Vol.3, No.4, 1991, pp.307 – 316.
  • Jankowski, A., and Michalewicz, Z., Closed Sets of Boolean Terms in Relational Databases, Fundamenta Informaticae, Vol.XIV, No.3, March 1991, pp.367 – 385.
  • Vignaux, G.A., and Michalewicz, Z., A Genetic Algorithm for the Linear Transportation Problem, IEEE Transactions on Systems, Man, and Cybernetics, Vol.21, No.2, 1991, pp.445 – 452.
  • Michalewicz, Z., A Genetic Algorithm for Statistical Database Security, IEEE Bulletin on Database Engineering, Vol.13, No.3, September 1990, pp.19 – 26.
  • Michalewicz, Z., Current Research in Statistical and Scientific Databases: the V SSDBM, IEEE Bulletin on Database Engineering, Vol.13, No.3, September 1990, pp.2 – 3.
  • Michalewicz, Z. and Chen, K-W., Uncertain Information in Relational Databases, International Journal on Policy and Information, Vol.13, No.2, December 1989, pp.187 – 202.
  • Michalewicz, Z., and Yeo, A., A Good Normal Form for Relational Databases, Fundamenta Informaticae, Vol.XII, No.2, June 1989, pp.129 – 138.
  • Michalewicz, Z., and Groves, L., Algebraic Operations on Restricted Cardinality Sets in Relational Databases, Fundamenta Informaticae, Vol.XII, No.1, March 1989, pp.13 – 27.
  • Michalewicz, Z., and Yeo, A., Multiranges and Multitrackers in Statistical Databases, Fundamenta Informaticae, Vol.X, No.4, December 1987, pp.41 – 48.
  • Ozsoyoglu, G., Cigrang, M., Cooper, B., Ive, G., Makris, G., McLeish, M., Michalewicz, Z., and Schmidt, P., Security of Statistical Databases, Statistical Software Newsletter, Vol.13, No.1, April 1987, pp.19 – 20.
  • Michalewicz, Z., Functional Dependencies and their Connection with Security of Statistical Databases, Information Systems, Vol.12, No.1, 1987, pp.17 – 27.
  • Michalewicz, Z., A Coin-Weighing Problem and its Connection with Security of a Statistical Database, Fundamenta Informaticae, Vol.X, No.1, March 1987, pp.81 – 91.
  • Michalewicz, Z., Inference Control in Statistical Databases with Incomplete Information, Information Systems, Vol.8, No.3, 1983, pp.177 – 185.
  • Michalewicz, Z., Compromisability of a Statistical Database, Information Systems, Vol.6, No.3, 1981, pp.301 – 304.

Conference Proceedings

  • Yao, L., Sheng, Q. Z., Benatallah, B., Dustdar, S., Wang, X., Shemshadi, A., Kanhere, S., WITS An IoT-endowed Computational Framework for Activity Recognition in Personalised Smart Homes, Computing, Springer, 2018. 
  • Przybyłek, M.R., Wierzbicki, A., and Michalewicz, Z., Decomposition Algorithms for a Multi-hard Problem, Evolutionary Computation, 2018
  • Zhang, W. E., Sheng, Q. Z., Yao, L., Taylor, K., Shemshadi, A., and Qin, Y., A Learning-Based Framework for Improving Querying on Web Interfaces of Curated Knowledge Bases, ACM Transactions on Internet Technology (TOIT), Vol.18, No.3, 2018
  • Myszkowski P.B., Olech Ł.P., Laszczyk M., and Skowroński M.E., Hybrid Differential Evolution and Greedy Algorithm (DEGR) for solving Multi-Skill Resource-Constrained Project Scheduling Problem, Applied Soft Computing, Vol. 62, pp. 1 – 14, January 2018
  • Bonyadi, M.R., and Michalewicz, Z, Impacts of coefficients on movement patterns in the particle swarm optimization algorithm, IEEE Transactions on Evolutionary Computation, Vol. 21, No. 3, pp. 378 – 390, June 2017
  • Bonyadi, M.R. and Michalewicz, Z., Particle swarm optimization for single objective continuous space problems: a review, Evolutionary Computation, Vol. 25, No. 1, pp. 1 – 54, 2017
  • Shemshadi, A., Sheng, Q. Z., Qin, Y., The Anatomy of an Intent Based Search and Crawler Engine for the Web of Things, Managing the Web of Things, 37-72. 2017
  • Shemshadi, A., Sheng, Q. Z., Qin, Y., Sun, A., Zhang, W. E., Yao, L., Searching for the internet of things: Where it is and what it looks like, Personal and Ubiquitous Computing, Springer London, 21(6), pp.1097 – 1112, 2017
  • Bonyadi, M.R. and Michalewicz, Z., Stability analysis of the particle swarm optimization without stagnation, IEEE Transactions on Evolutionary Computation, Vol. 20, No. 5, pp. 814 – 819, October 2016
  • Bonyadi, M.R. and Michalewicz, Z., Analysis of stability, local convergence, and transformation sensitivity of a variant of particle swarm optimization algorithm, IEEE Transactions on Evolutionary Computation, Vol. 20, No. 3, pp. 370 – 385, June 2016
  • Bonyadi, M.R., Michalewicz, Z., Nallaperuma, S., and Neumann, F., Ahura: a heuristic-based racer for simulated car racing, IEEE Transactions on Computational Intelligence and AI in Games, Vol. 9, No. 3, pp. 290 – 304, May 2016
  • Ghandar, A., Michalewicz, Z., and Zurbruegg, R., The relationship between model complexity and forecasting performance for computer intelligence optimization in finance, International Journal of Forecasting, Vol. 32, No. 3, pp. 598 – 613, 2016
  • Shemshadi, A., Sheng, Q. Z., Qin, Y., Efficient pattern matching for graphs with multi-Labeled nodes. Knowledge-Based Systems, Elsevier, 109, pp. 256 – 265, 2016
  • Myszkowski P.B., Skowroński M.E., Olech Ł.P., and Oślizło K., Hybrid ant colony optimization in solving multi-skill resource-constrained project scheduling problem, Soft Computing, Vol. 19, Issue 12, pp. 3599 – 3619, September 2014
  • Schellenberg, S., Li, X., and Michalewicz, Z., Preliminary study on solving coal processing and blending problems using lexicographic ordering, LNCS/LNAI Proceedings of the AI’17, Melbourne, Australia, August 19 – 25, 2017
  • Przybyłek, M.R., Wierzbicki, A., and Michalewicz, Z., Multi-hard Problems in Uncertain Environment, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Denver, Colorado, USA, July 20 – 24, 2016
  • Schellenberg, S., Li, X., and Michalewicz, Z., Benchmarks for the Coal Processing and Blending Problem, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Denver, Colorado, USA, July 20 – 24, 2016
  • Spytkowski M., Olech Ł.P., and Kwaśnicka H., Hierarchy of groups evaluation using different F-score variants, Intelligent Information and Database Systems: 8th Asian Conference (ACIIDS 2016), Da Nang, Vietnam, March 14 – 16, 2016, pp. 654 – 664.
  • Aljubairy, A., Shemshadi, A., Sheng, Q. Z., Real-Time Investigation of Flight Delays Based on the Internet of Things Data, Proceedings of the 12th International Conference on Advanced Data Mining and Applications (ADMA), pp. 788 – 800, 2016
  • Shemshadi, A., Sheng, Q. Z., Qin, Y., Alzubaidi, A., CEIoT A Framework for Interlinking Smart Things in the Internet of Things, Proceedings of the 12th International Conference on Advanced Data Mining and Applications (ADMA), 203 – 218, 2016
  • Shemshadi, A., Sheng, Q. Z., Qin, Y., Thingseek A crawler and search engine for the internet of things, Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1149 – 1152, 2016
  • Zhang, W. E., Sheng, Q. Z., Qin, Y., Yao, L., Shemshadi, A., Taylor, K., SECF Improving SPARQL querying performance with proactive fetching and caching, Proceedings of the 31st Annual ACM Symposium on Applied Computing, 362 – 367, 2016
  • Olech Ł.P., Paradowski M.T., Hierarchical Gaussian mixture model with objects attached to terminal and non-terminal dendrogram nodes, Proceedings of the 9th International Conference on Computer Recognition Systems (CORES 2015), Wrocław, Poland, May 25 – 27 2015, pp.191 – 201
  • Kwiatkowski J., Olech Ł.P., Scalability model based on the concept of granularity, Parallel processing and applied mathematics: 11th International Conference (PPAM 2015), Krakow, Poland, September 6 – 9, 2015, pp. 189 – 198
  • Bonyadi, M.R., Wagner, M., and Michalewicz Z., Beyond the edge of feasibility: analysis of bottlenecks, Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL'14), Otago, New Zealand, December 15 – 19, 2014.
  • Bonyadi, M.R., Przybyłek, M., Wierzbicki, A., and Michalewicz Z., Socially Inspired Algorithms for the Travelling Thief Problem, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Vancouver, Canada, July 12 – 16 , 2014.
  • Nallaperuma, S., Neumann, F., Bonyadi, M.R., Michalewicz, Z., EVOR : An Online Evolutionary Algorithm for Car Racing Games Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Vancouver, Canada, July 12 – 16 , 2014.
  • Polyakovskiy, S., Bonyadi, M.R., Wagner, M., Neumann, F., and Michalewicz, Z., A Comprehensive Benchmark Set and Heuristics for the Travelling Thief Problem, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Vancouver, Canada, July 12 – 16, 2014.
  • Bonyadi, M.R. and Michalewicz, Z., SPSO2011 – Analysis of stability, local convergence, and rotation sensitivity, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), Vancouver, Canada, July 12 – 16, 2014.
  • Bonyadi, M.R. and Michalewicz, Z., On the edge of feasibility: a case study of the particle swarm optimizer, Proceedings of the IEEE Congress of Evolutionary Computation (CEC), Beijin, China, July 6 – 11, 2014.
  • Stolk, J., Manna, I., Mohais, A., and Michalewicz, Z., Combining Vehicle Packing and Routing for Optimal Delivery Schedules of Water Tanks, Proceedings of the International Congress on Modelling and Simulation (MODSIM), Adelaide, Australia, December 1st, 2013.
  • Dasgupta, D., Ferebee, D.M., and Michalewicz, Z., Applying Puzzle-Based Learning to Cyber-Security Education, Proceedings of the 2013 Information Security Curriculum Development Conference (InfoSecCD2013), October 12, 2013, Kennesaw State University, Georgia.
  • Li X., Bonyadi, M.R., Michalewicz, Z. and Barone, L., Real-world Wheat Blending Problem Using Hybrid  Evolutionary Algorithm, Proceedings of the 2013 IEEE Congress on Evolutionary Computation, Cancun, Mexico, June 20 – 23, 2013.
  • Bonyadi, M.R., Michalewicz, Z., and Barone, L., Travelling Thief Problem: the first step in transition from theoretical problems to realistic problems, Proceedings of the 2013 IEEE Congress on Evolutionary Computation, Cancun, Mexico, June 20 – 23, 2013.
  • Osada, Y., While, L., Barone, L. and Michalewicz, Z., Multi-mine Planning using a Multi-objective Evolutionary Algorithm, Proceedings of the 2013 IEEE Congress on Evolutionary Computation, Cancun, Mexico, June 20 – 23, 2013.
  • Bonyadi, M.R. and Michalewicz, Z., A Hybrid Particle Swarm with Velocity Mutation for Constraint Optimization Problems, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2013), Amsterdam, Netherlands, July 6 – 10, 2013.
  • Ghandar, A., Michalewicz, Z., and Zurbruegg, R., Enhancing Profitability Through Interpretability in Algorithmic Trading with a Multiobjective Evolutionary Fuzzy System, Proceeding of the 12th International Conference on Parallel Problem Solving from Nature (PPSN’12), Taormina, Italy, September 1 – 5, 2012.
  • Abello, M., Michalewicz, Z., and Bui, L., A Reactive-Proactive Approach for Solving Dynamic Scheduling with Time-varying Number of Tasks, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, Brisbane, Australia, June 10 – 15, 2012.
  • Bonyadi, M.R. and Michalewicz, Z., A Fast Particle Swarm Optimization Algorithm for the Multidimensional Knapsack Problem, Proceedings of the 2012 IEEE Congress on Evolutionary Computation, Brisbane, Australia, June 10 – 15, 2012.
  • Ghandar, A., Michalewicz, Z., and Zurbruegg, R., A Case for Learning Simpler Rule Sets with Multiobjective Evolutionary Algorithms, Proceeding of the RuleML Workshop at the Twenty-second International Joint Conference on Artificial Intelligence (IJCAI-2011), Barcelona, Spain, July 19-22, 2011.
  • Parkinson, E., Ghandar, A., Michalewicz Z., and Tuson, A., Controlling the Tradeoff between Time and Quality by Considering the Reproductive Potential of Offspring, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2011), Dublin, Ireland, July 12 – 16, 2011.
  • Ibrahimov, M., Mohais, A., Schellenberg, S., and Michalewicz, Z., Comparison of cooperative, multiobjective cooperative and classical evolutionary algorithms for global supply chain optimisation, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2011), Dublin, Ireland, July 12 – 16, 2011.
  • Ghandar, A. and Michalewicz Z., Considerations of the Nature of the Relationship Between Generalization and Interpretability in Evolutionary Fuzzy Systems, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2011), Dublin, Ireland, July 12 – 16, 2011.
  • Parkinson, E., Ghandar, A., Michalewicz Z., and Tuson, A., Estimating the Reproductive Potential of Offspring in Evolutionary Heuristics for Combinatorial Optimization Problems, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, New Orleans, USA, June 5 – 8, 2011.
  • Ghandar, A. and Michalewicz Z., Using Cellular Evolution for Diversification of the Balance Between Accurate and Interpretable Fuzzy Knowledge Bases for Classification, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, New Orleans, USA, June 5 – 8, 2011.
  • Abello, M., Bui, L. and Michalewicz Z., Adaptation in Dynamic Environments with Time-Varying Number of TasksPart II, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, New Orleans, USA, June 5 – 8, 2011.
  • Abello, M., Bui, L. and Michalewicz Z., Adaptation in Dynamic Environments with Time-Varying Number of TasksPart I, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, New Orleans, USA, June 5 – 8, 2011.
  • Ibrahimov M., Mohais, A., Schellenberg, S., and Michalewicz Z., Comparison of different evolutionary algorithms for global supply chain optimisation and parameter analysis, Proceedings of the 2011 IEEE Congress on Evolutionary Computation, New Orleans, USA, June 5 – 8, 2011.
  • Ghandar, A. and Michalewicz, Z., An Experimental Study of Multi-Objective Evolutionary Algorithms for Balancing Interpretability and Accuracy in Fuzzy Rulebase Classifiers for Financial Prediction, Proceeding of the IEEE Symposium Series on Computational Intelligence, Paris, France, April 11 – 15, 2011.
  • Ghandar, A., Michalewicz, Z., and Zurbruegg, R., Evolving Fuzzy Rules: Evaluation of a New Approach, Proceeding of the Eight International Conference on Simulated Evolution and Learning (SEAL'10), IIT Kanpur, India, December 1 – 4, 2010.
  • Michalewicz, Z., Falkner, N, and Sooriamurthi, R., Puzzle-Based Learning: An Introduction to Critical Thinking and Problem Solving, Proceedings of the 2010 Decision Sciences Institute, San Diego, California, November 20 – 23, 2010.
  • Bui, L. and Michalewicz Z., A Computational Framework for Adaptation in Military Mission Planning, Proceedings of the Second International Conference on Knowledge and Systems Engineering (KSE 2010), Hanoi, Vietnam, October 7 – 9, 2010.
  • Ghandar, A., Michalewicz, Z., and Zurbruegg, R., Interpretable Multi-Criteria Fuzzy Rule Based Decision Models for Hedge Fund Management, Proceedings of the 2010 IEEE Congress on Evolutionary Computation, Barcelona, Spain, July 18 – 23, 2010.
  • Bui, L. and Michalewicz Z., An Evolutionary Multi-objective Approach for Dynamic Mission Planning, Proceedings of the 2010 IEEE Congress on Evolutionary Computation, Barcelona, Spain, July 18 – 23, 2010.
  • Ghandar, A., Michalewicz, Z., and Zurbruegg, R., Index Tracking Fund Enhancement Using Evolving Multi-Criteria Fuzzy Decision Models, Proceedings of the 2010 IEEE Congress on Evolutionary Computation, Barcelona, Spain, July 18 – 23, 2010.
  • Kosiński, W., Kotowski, S., and Michalewicz Z., May Evolutionary Algorithm be Convergent and when it may Happen, Proceedings of the 2010 IEEE Congress on Evolutionary Computation, Barcelona, Spain, July 18 – 23, 2010.
  • Ibrahimov M., Wagner N., Mohais, A., Schellenberg, S., and Michalewicz, Z., Comparison of cooperative and classical evolutionary algorithms for global supply chain optimisation, Proceedings of the 2010 IEEE Congress on Evolutionary Computation, Barcelona, Spain, July 18 – 23, 2010.
  • Schellenberg, S., Mohais, A., Wagner N., Ibrahimov M., and Michalewicz Z., Optimising supply chain networks by means of a hybridised simulation-based approach, Proceedings of the 2010 IEEE Congress on Evolutionary Computation, Barcelona, Spain, July 18 – 23, 2010.
  • Mohais, A., Ibrahimov M., Schellenberg, S., Wagner N., and Michalewicz, Z., Time-Varying Constraints and Other Practical Problems in Real-World Scheduling Applications, Proceedings of the 2010 IEEE Congress on Evolutionary Computation, Barcelona, Spain, July 18 – 23, 2010.
  • Ibrahimov M., Wagner N., Mohais, A., Schellenberg, S., and Michalewicz, Z., Comparison of multiobjective cooperative and classical evolutionary algorithms for global supply chain optimisation, Proceedings of the 24th European Conference on Operational Research (EURO XXIV), session “Industrial applications of scheduling and routing”, stream “OR Applications in Industry”, Lisbon, Portugal, July 11 – 14, 2010.
  • Michalewicz, M., Michalewicz, Z., and Spitty, R., Optimising the Wine Supply Chain, Proceedings of the Fourteen Australian Wine Industry Technical Conference (14 AWITC), Adelaide, Australia, July 4 – 7, 2010.
  • Falkner, N, Sooriamurthi, R., and Michalewicz, Puzzle-Based Learning: The first experiences, Proceedings of the Twentieth Annual Conference of the Australasian Association for Engineering Education (AaeE’2009), Adelaide, Australia, December 6 – 9, 2009.
  • Michalewicz, Z., Ibrahimov, M., and Mohais, A., Applicational of Evolutionary Methods for Complex Industrial Problems, Proceedings of EUROGEN’09, T. Burczynski and J. Periaux (Eds), 2009.
  • Ghandar, A., Michalewicz, Z., and Zurbruegg, R., Learning Multi-Criteria Fuzzy Rule based Decision Models for Hedge Fund Management, Proceedings of the 8th Metaheuristic International Conference (MIC’09), Hamburg, Germany, July 13 – 16, 2009.
  • Buckley, M., Ghandar, A. Michalewicz, Z. and Zurbruegg, R., Evaluation of Intelligent Quantitative Hedge Fund Management, Proceedings of the IEEE Congress on Evolutionary Computation, Throndheim, Norway, May 18 – 21, 2009.
  • Avery, P., Michalewicz, Z. and Greenwood, G., Adapting to Human Game Play, Proceedings of the IEEE Symposium on Computational Intelligence and Games (CIG’08), Perth, Australia, December 15 – 18, 2008.
  • Kroeske, J., Ghandar, A., Michalewicz, Z., and Neumann, F., Learning Fuzzy Rules with Evolutionary Algorithms-an Analytic Approach, Proceedings of the 10th International Conference on Parallel Problem Solving from Nature (PPSN 2008), Dortmund, September 13 – 17, 2008.
  • Wagner, N. and Michalewicz, Z., An Analysis of Adaptive Windowing for Times Series Forecasting in Dynamic Environments: Further Tests of the DyFor GP Model, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2008), Atlanta, Georgia, July 12 – 16, 2008.
  • Kotowski, S., Kosiński, W., Michalewicz, Z., Nowicki, J., and Przepiorkiewicz, B., Fractal Dimension of Trajectory as Invariant of Genetic Algorithms, Proceedings of the International Conference on Artificial Intelligence and Soft Computing, Zakopane, Poland, June 22 – 26, 2008.
  • Ghandar, A., Michalewicz, Z., To, T.-D., and Zurbruegg, R., The Performance of an Adaptive Portfolio Management System, Proceedings of the 2008 Congress on Evolutionary Computation (CEC2008), Hong Kong, June 1 – 6, 2008.
  • Avery, P., Greenwood, G., and Michalewicz, Z., Coevolving Strategic Intelligence, Proceedings of the 2008 Congress on Evolutionary Computation (CEC2008), Hong Kong, June 1 – 6, 2008.
  • Siaw, W. S., Lakos, C. Michalewicz, Z., and Schellenberg, S., Experiments in Applying Evolutionary Algorithms to Software Verification, Proceedings of the 2008 Congress on Evolutionary Computation (CEC2008), Hong Kong, June 1 – 6, 2008.
  • Ghander, A., Michalewicz, Z., Schmidt, M., To, T., and Zurbruegg, R., Computational Intelligence for Evolving Trading Rules, Proceedings of the 20th Annual Australasian Finance and Banking Conference, Sydney, December 12 – 14, 2007.
  • Michalewicz, Z. and Michalewicz, M., Puzzle-Based Learning, Proceedings of the Eighteenth Annual Conference of the Australasian Association for Engineering Education (AaeE’2007), Melbourne, Australia, December 9 – 12, 2007.
  • Ghander, A.. Michalewicz, Z., Schmidt, M., To, T., Zurbruegg, R., A Computational Intelligence Portfolio Construction System for Equity Market Trading, Proceedings of the 2007 Congress on Evolutionary Computation (CEC2007), Singapore, September 26 – 29, 2007.
  • Avery, P. and Michalewicz, Z., Static Experts and Dynamic Enemies in Coevolutionary Games, Proceedings of the 2007 Congress on Evolutionary Computation (CEC2007), Singapore, September 26 – 29, 2007, pp. 4035 – 4042.
  • Ghandar, A., Michalewicz, Z., Schmidt, M., To, T.-D., and Zurbruegg, R. The Design and Performance of an Adaptive Evolutionary Algorithm for Technical Asset Allocation Management Decisions. in 13th Intl Conf on Computing in Economics & Finance - Soc for Computational Econ. 2007. Montréal, Quebec, Canada.
  • Avery, P., Michalewicz, Z. and Schmidt, M., A Historical Population in a Coevolutionary System, Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, Honolulu, Hawaii, April 1 – 5, 2007, pp.104 – 111.
  • Ghander, A.. Michalewicz, Z., Schmidt, M., To, T., Zurbruegg, R., The Performance of an Adaptive Evolutionary Algorithm for Asset Allocation Management Decisions, presented at the Finance Conference, Adelaide, December 2006.
  • Michalewicz, Z., Schmidt, M., Michalewicz, M., and Chiriac, C., Evaluation Functions for Real Word Problems: A Case Study, Proceedings of the 16th Mini-EURO Conference on Artificial Intelligence in Transportation, part of the 10th Meeting of the EURO Working Group Transportation (EWGT) on Advances in Modeling, Optimization, and Management of Transportation Processes and Systems: Theory and Practice, Poznań, Poland, September 13 – 16, 2005, A. Jaszkiewicz, M. Kaczmarek, J. Żak, M. Kubiak (Editors), Publishing House of Poznań University of Technology, Poznań, 2005, pp. 24 – 33.
  • Schmidt, M., Michalewicz, Z., Michalewicz, M., and Chiriac, C., Prediction and Optimization in a Dynamic Environment: A Case Study, Proceedings of the 2005 Congress on Evolutionary Computation (CEC2005), Edinburgh, September 2 – 5, 2005, pp.781 – 788.
  • Michalewicz, Z., Schmidt, M., Michalewicz, M., and Chiriac, C., Prediction and Optimization for Distribution and Transportation: A Case Study, Proceedings of the 6th Metaheuristics International Conference, Vienna, Austria, August 22 – 26, 2005.
  • Michalewicz, Z., Schmidt, M., Michalewicz, M., and Chiriac, C., Prediction, Distribution, and Transportation: A Case Study, Proceedings of the International Symposium on Intelligent Computation and Its Applications, Wuhan, China, April 4 – 6, 2005, pp.545 – 557.
  • Wagner, N., Michalewicz, Z., Khouja, M., McGregor, R.R., The DyFor Genetic Program Model: Time Series Forecasting with a Dynamic Data Window, Proceedings of the International Symposium on Intelligent Computation and Its Applications, Wuhan, China, April 4 – 6, 2005.
  • Wagner, N., Michalewicz, Z., Khouja, M., McGregor, R.R., Time Series Forecasting for Dynamic Environments: the DyFor Genetic Program Model, Proceedings of the International Seminar on Soft Computing and Intelligent Systems (WISIS'04), O. Hryniewcz, J. Kacprzyk, J. Koronacki, S.T. Wierzchon (Editors), Issues in Intelligent Systems: Paradigms, EXIT, Warsaw, 2005, pp.287 –308.
  • Wagner, N., Michalewicz, Z., Khouja, M., McGregor, R.R., Forecasting with Dynamic Window of Time: the DyFor Genetic Program Model, Proceedings of the International Workshop on Intelligent Media Technology for Communicative Intelligence, Warsaw, Poland, September 13 – 14, 2004, Springer, Lecture Notes in Artificial Intelligence, Vol. 3490, pp.205 – 215.
  • Johnson, R.W., Melich, M., Michalewicz, Z., Schmidt, M., and Wagner, N., Coevolutionary Approach for Strategic Decision Support, Proceedings of the 7th Asia-Pacific Conference on Complex Systems (Complex'2004), Cairns, Australia, December 6 – 10, 2004.
  • Michalewicz, Z., Evolutionary Algorithms as Intelligent Component in Adaptive Systems. Proceedings of the International Workshop on Intelligent Media Technology for Communicative Intelligence, Warsaw, Poland, September 13 – 14, 2004.
  • Johnson, R.W., Melich, M., Michalewicz, Z., and Schmidt, M., Coevolutionary “TEMPO” Game, Proceedings of the 2004 Congress on Evolutionary Computation (CEC2004), Portland, June 19 – 23, 2004.
  • Johnson, R.W., Melich, M., Michalewicz, Z., and Schmidt, M., Coevolutionary Processes for Strategic Decisions, Proceedings of the International Workshop on Monitoring, Security, and Rescue Tasks in Multi-Agent Systems (MSRAS 2004), Płock, Poland, June 7 – 9, 2004.
  • Schutz, M., Leguizamon, G. and Michalewicz, Z., An Ant System for the Maximun Independent Set Problem, Proceedings of the VII Argentinian Congress on Computer Science (CACIC 2001), El Calafate, Argentina, October 2001, Vol.II, pp.1027-1040.
  • Wagner, N. and Michalewicz, Z., Genetic Programming with Efficient Population Control for Financial Time Series Prediction, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), Late Breaking Papers, pp.458 – 462.
  • Pasupathy, K.M.K., Liu, J., Wilhelm, R.G., and Michalewicz, Z., An Evolutionary Algorithm for Spatial Allocation of Fluidpower Valves on Valve-stand, Proceedings of the 2001 Congress on Evolutionary Computation (CEC2001), Seoul, Korea, May 27 – 30, 2001, pp.228-295.
  • Schmidt, M. and Michalewicz, Z., Test-Case Generator TCG-2 for Nonlinear Parameter Optimization, Proceedings of the 6th Parallel Problem Solving from Nature,  Springer, Lecture Notes in Computer Science, Vol.1917, M. Schoneauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J.J. Merelo, and H.-P. Schwefel (Editors), Paris, September 17 – 20, 2000, pp.539 – 548.
  • Schmidt, M. and Michalewicz, Z., Test-Case Generator TCG-2 for Nonlinear Parameter Optimization, Proceedings of the Congress on Evolutionary Computation, CEC'2000, San Diego, July 16 – 19, 2000, pp.728 – 735.
  • Eiben, A.E., Jansen, B., Michalewicz, Z., and Paechter, B., Solving CSPs with Using Self-adaptive Constraint Weights: How to prevent EAs from Cheating, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), Las Vegas, Nevada, July 8 – 12, 2000, pp. 128 – 134.
  • Michalewicz, M., Juda-Rezler, K., Trojanowski, K., Matuszewski, A., Michalewicz, Z., Trojanowski, M., Evolutionary Real-Time Optimization System for Ecological Power Control, Proceedings of the Ninth International Symposium on Intelligent Information Systems (IIS'2000), Bystra, Poland, June 13 – 17, 2000, in Advances in Soft Computing, Physica-Verlag, pp.227 – 242.
  • Krink, T., Mayoh, B.H., and Michalewicz, Z., A Patchwork Model for Evolutionary Algorithms with Structured and Variable Size Populations, Proceedigns of the Genetic and Evolutionary Computation Conference (GECCO-1999), Orlando, Florida, July 14 – 17, 1999, pp.1321 – 1328.
  • Michalewicz, Z. and Michalewicz, M., Teaching Evolutionary Algorithms, Proceedings of the Congress on Evolutionary Computation, CEC'99, Washington DC, July 6 – 9, 1999, pp.1702 – 1706.
  • Leguizamon, G. and Michalewicz, Z., A New Version of the Ant System for Subset Problems, Proceedings of the Congress on Evolutionary Computation, CEC'99, Washington DC, July 6 – 9, 1999, pp.1459 – 1464.
  • Stidsen, T., Caprani, O., and Michalewicz, Z., A Parabolic Operator for Parameter Optimization Problems, Proceedings of the Congress on Evolutionary Computation, CEC'99, Washington DC, July 6 – 9, 1999, pp.1494 – 1500.
  • Trojanowski, K. and Michalewicz, Z., Searching for Optima in Non-stationary Environments, Proceedings of the Congress on Evolutionary Computation, CEC'99, Washington DC, July 6 – 9, 1999, pp.1843 – 1850.
  • Michalewicz, Z., Deb, K., Schmidt, M., and Stidsen, T., Towards Understanding Constrained-Handling Methods in Evolutionary Algorithms, Proceedings of the Congress on Evolutionary Computation, CEC'99, Washington DC, July 6 – 9, 1999, pp.581 – 588.
  • Trojanowski, K. and Michalewicz, Z., Evolutionary Algorithms for Non-stationary Environments, Proceedings of the 8th International Symposium on Intelligent Systems (ISS'99), June 14 – 18, 1999, Ustronie/Wisła, Poland, pp.229 – 240.
  • Trojanowski, K. and Michalewicz, Z., Evolutionary Approach to Non-stationary Optimisation Tasks, Proceedings of the 11th International Symposium on Methodologies of Intelligent Systems, Lecture Notes in Artificial Intelligence, Vol.1609, Z.W. Raś and A. Skowron (Editors), Springer, pp. 538 – 546, June 8 – 11, 1999, Warsaw, Poland.
  • Michalewicz, Z., Deb, K., Schmidt, M., and Stidsen, T., Evolutionary Algorithms for Engineering Applications, Proceedings of EUROGEN'99, May 30 – June 3, 1999, Jyvaeskylae, Finland, pp.73 – 94.
  • Trojanowski, K. and Michalewicz, Z., Extensions of Evolutionary Algorithms for Non-stationary Environments, Proceedings of the 4th National Conference on Evolutionary Computation and Global Optimization, May 25 – 28, 1999, Potok Złoty, Poland.
  • Tao, G. and Michalewicz, Z., Inver-over Operator for the TSP, Proceedings of the 5th Parallel Problem Solving from Nature, Springer, Lecture Notes in Lomputer Science, Vol.1498, A.E. Eiben, T. Baeck, M. Schoenauer, and H.-P. Schwefel (Editors), Amsterdam, September 27 – 30, 1998, pp.803 – 812.
  • Kozieł, S. and Michalewicz, Z., A Decoder-based Evolutionary Algorithm for Constrained Parameter Optimization Problems, Proceedings of the 5th Parallel Problem Solving from Nature, Springer, Lecture Notes in Lomputer Science, Vol.1498, A.E. Eiben, T. Baeck, M. Schoenauer, and H.-P. Schwefel (Editors), Amsterdam, September 27 – 30, 1998, pp.231 – 240.
  • Cao, H., Kang, L., Michalewicz, Z., and Chen, Y., A Two-level Evolutionary Algorithm for Modeling System of Ordinary Differential Equations, Proceedings of the 3rd Annual Genetic Programming Conference, J. Koza et al. (Editors), July 22 – 25, 1998, University of Wisconsin-Madison, Morgan Kauffman, San Francisco, pp.17 – 22.
  • Michalewicz, Z., Esquivel, S., Gallard, R., Michalewicz, M., and Tao, G., Some Remarks on Design of Evolutionary Algorithms, presented at the 3rd On-line World Conference on Soft Computing in Engineering Design and Manufacturing (WSC3), Internet, June 21 – 30, 1998.
  • Kosiński, W., Weigl, M., and Michalewicz, Z., Genetic Algorithms for Preprocessing of Data for Universal Approximators, Proceedings of the 7th International Symposium on Intelligent Systems (ISS'98), June 15 – 19, 1998, Malbork, Poland.
  • Smierzchalski, R. and Michalewicz, Z., Adaptive Modeling of a Ship Trajectory in Collision Situations at Sea, Proceedings of the 5th International Conference on Evolutionary Computation, Anchorage, Alaska, May 4 – 9, 1998, pp.342 – 347.
  • Hinterding, R. and Michalewicz, Z., Your Brains and My Beauty: Parent Matching for Constrained Optimization, Proceedings of the 5th International Conference on Evolutionary Computation, Anchorage, Alaska, May 4 – 9, 1998, pp.810 – 815.
  • Kosiński, W., Weigl, M., and Michalewicz, Z., Evolutionary Domain Covering of an Inference System for Function Approximation, Proceedings of the 7th Annual Conference on Evolutionary Programming, San Diego, March 25 – 27, 1998, Springer Lecture Notes in Computer Science, Vol.1447, V.W. Porto, N. Saravanan, D. Waagen, and A.E. Eiben (Editors), pp.167 – 178.
  • Schoenauer, M. and Michalewicz, Z., Sphere Operators and Their Applicability for Constrained Parameter Optimization Problems, Proceedings of the 7th Annual Conference on Evolutionary Programming, San Diego, March 25 – 27, 1998, Springer Lecture Notes in Computer Science, Vol.1447, V.W. Porto, N. Saravanan, D. Waagen, and A.E. Eiben (Editors), pp.241 – 250.
  • Hinterding, R. and Michalewicz, Z., Does Parent Matching Work for Constrained Optimization? Proceedings of the Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems, (Edited by X. Yao, M. Gen, Y. Tsujimura and R.I. McKay), Canberra, Australia, November 21 – 22, 1997, pp.37 – 46.
  • Michalewicz, Z. and Michalewicz, M., Evolutionary Computation Techniques and Their Applications, Proceedings of the IEEE International Conference on Intelligent Processing Systems, Beijing, China, October 28 – 31, 1997, pp.14 – 25.
  • Trojanowski, K. and Michalewicz, Z., Evolutionary Algorithms and the Problem-Specific Knowledge, Proceedings of the Second National Conference on Evolutionary Computation and Global Optimization, Rytro, Poland, September 16 – 19, 1997, pp.281 – 292.
  • Michalewicz, Z., The Significance of the Evaluation Function in Evolutionary Algorithms, Proceedings of the Workshop Evolutionary Algorithms, organized by Institute for Mathematics and Its Applications, University of Minnesota, Minneapolis, MN, October 21 – 25, 1996; Springer, Vol.111 of the IMA Volumes in Mathematics and Its Applications, L. Davis, K. De Jong, M. Vose, and D. Whitley (Editors), 1998, pp.151 – 166.
  • Schoenauer, M. and Michalewicz, Z., Boundary Operators for Constrained Parameter Optimization Problems, Proceedings of the 7th International Conference on Genetic Algorithms, East Lansing, Michigan, July 19 – 23, 1997, pp.320 – 329.
  • Trojanowski, K., Michalewicz, Z., and Xiao, J., Adding Memory to an Evolutionary Planner/Navigator, Proceedings of the 4th IEEE International Conference on Evolutionary Computation, Indianapolis, April 13 – 16, 1997, pp.483 – 487.
  • Hinterding, R., Michalewicz, Z., and Eiben, A.E., Adaptation in Evolutionary Computation: A Survey, Proceedings of the 4th IEEE International Conference on Evolutionary Computation, Indianapolis, April 13 – 16, 1997, pp.65 – 69.
  • Xiao, J., Zhang, L., and Michalewicz, Z., On Topological Diversity and Multiple Path Planning, Proceedings of the 2nd International Conference on Computational Intelligence and Neural Science, Research Triangle Park, North Carolina, March 1 – 4, 1997, pp.10 – 13.
  • Hinterding, R., Michalewicz, Z., and Peachey, T.C., Self-Adaptive Genetic Algorithm for Numeric Functions, Proceedings of the 4th Parallel Problem Solving from Nature, H.-M. Voigt, W. Ebeling, I. Rechenberg, and H.-P. Schwefel (Editors), September 22 – 27, 1996, Springer, Lecture Notes in Computer Science, Vol.1141, pp.420 – 429.
  • Schoenauer, M. and Michalewicz, Z., Evolutionary Computation at the Edge of Feasibility, Proceedings of the 4th Parallel Problem Solving from Nature, H.-M. Voigt, W. Ebeling, I. Rechenberg, and H.-P. Schwefel (Editors), September 22 – 27, 1996, Springer, Lecture Notes in Computer Science, Vol.1141, pp.245 – 254.
  • Michalewicz, Z., Xiao, J., and Trojanowski, K., Evolutionary Computation: One Project, Many Directions, Proceedings of the 9th International Symposium on Methodologies of Intelligent Systems, June 10 – 13, 1996, Zakopane, Poland, pp.189 – 201.
  • Michalewicz, Z., Engineering Design and Evolutionary Computation, Proceedings of the Workshop on Genetic Algorithms and Engineering Design, M. Gen and K. Ida (Editors), Ashikaga Institute of Technology, Japan, May 24, 1996, pp.1 – 23.
  • Michalewicz, Z., Evolutionary Computation: Practical Issues, Proceedings of the 3rd IEEE International Conference on Evolutionary Computation, May 20 – 22, 1996, Nagoya, Japan, pp.30 – 39.
  • Xiao, J., Michalewicz, Z., and Zhang, L., Evolutionary Planner/Navigator: Operator Performance and Self-Tuning, Proceedings of the 3rd IEEE International Conference on Evolutionary Computation, May 20 – 22, 1996, Nagoya, Japan, pp.366 – 371.
  • Michalewicz, Z., Nazhiyath, G., and Michalewicz, M., A Note on Usefulness of Geometrical Crossover for Numerical Optimization Problems, Proceedings of the 5th Annual Conference on Evolutionary Programming, L.J. Fogel, P.J. Angeline, and T. Baeck (Editors), MIT Press, Cambridge, MA, 1996, pp.305 – 312.
  • Michalewicz, Z. and Nazhiyath, G., Genocop III: A Co-evolutionary Algorithm for Numerical Optimization Problems with Nonlinear Constraints, Proceedings of the 2nd IEEE International Conference on Evolutionary Computation, Vol.2, Perth, November 29 – December 1, 1995, pp.647 – 651.
  • Esquivel, S., Gallard, R., and Michalewicz, Z., MCPC: Another Approach to Crossover in Genetic Algorithms, Proceedings of the First Argentinian Congress on Computer Science, Universidad del Sur, Bahia Blanca Argentina, October 6, 1995, pp.141 – 150.
  • Michalewicz, Z., Heuristics in Evolutionary Computation Methods, Proceedings of the Metaheuristics International Conference (MIC-1), July 22 – 26, 1995, Breckenridge, Colorado, Kluwer Academic, pp.115 – 120.
  • Michalewicz, Z., Genetic Algorithms, Numerical Optimization and Constraints, Proceedings of the 6th International Conference on Genetic Algorithms, Pittsburgh, July 15 – 19, 1995, pp.151 – 158.
  • Michalewicz, Z., Do Not Kill Unfeasible Individuals, Proceedings of the Fourth Intelligent Information Systems Workshop (IIS'95), Dabrowski, Michalewicz, Raś (Editors), Augustów, Poland, June 5 – 9, 1995, pp.110 – 123.
  • Michalewicz, Z. and Xiao, J., Evaluation of Paths in Evolutionary Planner/Navigator, Proceedings of the 1995 International Workshop on Biologically Inspired Evolutionary Systems, Tokyo, Japan, May 30 – 31, 1995, pp.45 – 52.
  • Michalewicz, Z., Evolutionary Computation: An Overview, Proceedings of the 8th Scandinavian Conference on Artificial Intelligence (SCAI '95), A. Aamodt and J. Komorowski (Editors), IOS Press, Vol.28, Trondheim, May 29 – 31 1995, pp.322 – 337.
  • Cassen, T., Subramanian, K., and Michalewicz, Z., Near-Optimal Construction of Partitioning Trees by Evolutionary Techniques, Proceedings of Graphics Interface '95, Quebec City, May 17 – 19, 1995, Morgan Kaufmann, San Mateo, pp.263 – 271.
  • Reynolds, R.G., Michalewicz, Z., and Cavaretta, M., Using Cultural Algorithms for Constraint Handling in Genocop, Proceedings of the 4th Annual Conference on Evolutionary Programming, J.R. McDonnell, R.G. Reynolds, and D.B. Fogel (Editors), MIT Press, Cambridge, MA, 1995, pp.289 – 305.
  • Michalewicz, Z., A Survey of Constraint Handling Techniques in Evolutionary Computation Methods, Proceedings of the 4th Annual Conference on Evolutionary Programming, MIT Press, Cambridge, MA, 1995, pp.135 – 155.
  • Michalewicz, Z., A Perspective on Evolutionary Computation, Proceedings of the Workshop on Evolutionary Computation, November 21 – 22, 1994, University of New England, Armidale, Australia, pp.76 – 93; also in X. Yao (Editor), Progress in Evolutionary Computation, Springer, Lecture Notes in Artificial Intelligence, Vol.956, Heidelberg, 1995, pp.73 – 89.
  • Michalewicz, Z. and Arabas, J., Genetic Algorithms for the 0/1 Knapsack Problem, Proceedings of the 8th International Symposium on Methodologies for Intelligent Systems, Charlotte, NC, October 16 – 19, 1994, Springer, Lecture Notes in Artificial Intelligence, Vol.869, pp.134 – 143.
  • Lin, H.-S., Xiao, J., and Michalewicz, Z., Evolutionary Algorithm for Path Planning in Mobile Robot Environment, Proceedings of the First IEEE International Conference on Evolutionary Computation, Orlando, June 27 – 29, 1994, pp.211 – 216.
  • Arabas, J., Michalewicz, Z., and Mulawka, J., GAVaPS – a Genetic Algorithm with Varying Population Size, Proceedings of the First IEEE International Conference on Evolutionary Computation, Orlando, June 27 – 29, 1994, pp.73 – 78.
  • Lin, H.-S., Xiao, J., and Michalewicz, Z., Evolutionary Navigator for a Mobile Robot, Proceedings of the IEEE International Conference on Robotics and Automation, IEEE Computer Society Press, New York, 1994, pp.2199 – 2204.
  • Michalewicz, Z., and Attia, N., Evolutionary Optimization of Constrained Problems, Proceedings of the 3rd Annual Conference on Evolutionary Programming, A.V. Sebald and L.J. Fogel (Editors), World Scientific, River Edge, NJ, 1994, pp.98 – 108.
  • Michalewicz, Z., Logan, T.D., and Swaminathan, S., Evolutionary Operators for Continuous Convex Parameter Spaces, Proceedings of the 3rd Annual Conference on Evolutionary Programming, A.V. Sebald and L.J. Fogel (Editors), World Scientific, River Edge, NJ, 1994, pp.84 – 97.
  • Michalewicz, Z., Genetic Algorithms in Optimization Problems with Constraints, Proceedings of the XIII World Conference on Operations Research IFORS '93, Section Heuristics and AI-Related Methods, July 12 – 16, 1993, Lisbon, Portugal.
  • Michalewicz, Z., On Some Applications of Genetic Algorithms, Proceedings of the Second Workshop on Intelligent Information Systems, Augustów, Poland, June 7 – 11, 1993, pp.61 – 83.
  • Michalewicz, Z. Schell, J., and Seniw, D., Data Structures + Genetic Operators = Evolution Programs, Proceedings of the Sixth International Symposium on Methodologies for Intelligent Systems, (Poster Session), Charlotte, NC, October 16 – 19, 1991, pp.107 – 118.
  • Michalewicz, M. and Michalewicz, Z., Automated Rules Generation, Proceedings of the Sixth International Symposium on Methodologies for Intelligent Systems, Charlotte, NC, October 16 – 19, 1991, Springer, Lecture Notes in Artificial Intelligence, Vol.542, pp.389 – 398.
  • Michalewicz, Z. and Janikow, C., Handling Constraints in Genetic Algorithms, Proceedings of the Fourth International Conference on Genetic Algorithms, San Diego, July 13 – 16, 1991, pp.151 – 157.
  • Janikow, C. and Michalewicz, Z., An Experimental Comparison of Binary and Floating Point Representations in Genetic Algorithms, Proceedings of the Fourth International Conference on Genetic Algorithms, San Diego, July 13 – 16, 1991, pp.31 – 36.
  • Michalewicz, Z., A Step Towards Optimal Topology of Communication Networks, Proceedings of the SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, April 1 – 5, 1991, Orlando, Florida, pp.112 – 122.
  • Michalewicz, Z., Krawczyk, J., Kazemi, M., Janikow, C., Genetic Algorithms and Optimal Control Problems, Proceedings of the 29th IEEE Conference on Decision and Control, Honolulu, Hawaii, December 5 – 7, 1990, pp.1664 – 1666.
  • Janikow, C., and Michalewicz, Z., Specialized Genetic Algorithms for Numerical Optimization Problems, Proceedings of the Second International Conference on Tools for AI, Washington, November 6 – 9, 1990, pp.798 – 804.
  • Michalewicz, Z., Jankowski, A., and Vignaux, G.A., The Constraints Problem in Genetic Algorithms, Proceedings of the International Symposium on Methodologies for Intelligent Systems, Selected Papers, (M.L. Emrich, M.S. Phifer, B. Huber, M. Zemankova, Z.W. Raś, Editors), International Center for the Application of Information Technology, Knoxville, October 25 – 27, 1990, pp.142 – 157.
  • Groves, L., Michalewicz, Z., Elia, P., and Janikow, C., Genetic Algorithms for Drawing Directed Graphs, in Methodologies of Intelligent Systems, 5, (Z. Raś, M. Zemankova, and M. Emrich, Editors), North Holland, 1990, pp.268 – 276.
  • Michalewicz, Z., Li, J-J., and Chen, K-W., Optimal Distribution of Restricted Ranges in Secure Statistical Databases, Proceedings of the 5th International Conference on Statistical and Scientific Database Management, Charlotte, April 3 – 5, 1990, Springer, Lecture Notes in Computer Science, No.420, pp.67 – 81.
  • Vignaux, G.A., and Michalewicz, Z., Genetic Algorithms for the Transportation Problem, in Methodologies for Intelligent Systems, 4, (Z. Raś, Editor), North Holland, 1989, pp.252 – 259.
  • Michalewicz, Z., Vignaux, G.A., and Groves, L., Genetic Algorithms for Approximation and Optimization Problems, Proceedings of the 11th NZ Computer Conference, Wellington, New Zealand, August 16 – 18, 1989, pp.211 – 223.
  • Jankowski, A., Michalewicz, Z., Raś, Z., and Shoff, D., Issues on Evolution Programming, in Computing and Information, (R. Janicki and W.W. Koczkodaj, Editors), North Holland, 1989, pp.459 – 463.
  • Groves, L., and Michalewicz, Z., A New Approach to Incomplete Information in Relational Databases, Proceedings of the 12th Australian Computer Science Conference, Wollongong, February 8 – 10, 1989, pp.130 – 141.
  • Michalewicz, Z., and Chen, K-W., Uncertainty, Boolean Terms, and Possibilities in Relational Databases, Proceedings of the International Computer Symposium, Taipei, Taiwan, December 15 – 17, 1988, pp.1213 – 1220.
  • Chen, S., Michalewicz, Z., and Jankowski, A., An Neural Network Approach to Database Systems, Proceedings of the International Computer Symposium, Taipei, Taiwan, December 15 – 17, 1988, pp.1207 – 1212.
  • Jankowski, A., and Michalewicz, Z., Relational Data Bases with Structured Values of Attributes, in Methodologies for Intelligent Systems, 3, (Z. Raś and L. Saitta, Editors), North Holland, 1988, pp.180 – 189.
  • Michalewicz, Z., and Groves, L., Sets and Uncertainty in Relational Databases, Proceedings of the International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Urbino, Italy, July 4 – 7, 1988, Springer, Lecture Notes in Computer Science, No.313, pp.127 – 137.
  • Michalewicz, Z., and Chen, K-W., Ranges and Trackers in Statistical Databases, Proceedings of the 4th International Conference on Statistical and Scientific Database Management, Rome, Italy, June 21 – 23, 1988, pp.163 – 176, and Springer, Lecture Notes in Computer Science, No.339, pp.193 – 206.
  • Michalewicz, Z., and Yeo, A., Sets in Relational Databases, Proceedings of the Canadian Information Processing Society, Edmonton, Canada, November 17 – 19, 1987, pp.237 – 245; presented also on the 2nd International Symposium on Methodologies for Intelligent Systems, Charlotte, USA, October 14 – 16, 1987.
  • Michalewicz, Z., Conceptual Design for Relational Databases, Proceedings of the 11th NZ Computer Conference, Christchurch, August 26 – 28, 1987, New Zealand, pp.R1 – R11.
  • Chan, C. and Michalewicz, Z., A Query Language Capable of Handling Incomplete Information and Statistics, Proceedings of the 3rd International Workshop on Statistical and Scientific Database Management, Luxembourg, July 22 – 24, 1986, pp.107 – 115.
  • Michalewicz, Z., Statistical Databases: Their Model, Query Language and Security, Proceedings of the 2nd International Workshop on Statistical Database Management, Los Altos, USA, September 27 – 29, 1983, pp.391 – 402.
  • Michalewicz, Z., Protecting an Individual in Statistical Databases, Proceedings of the 8th NZ Computer Conference, Wellington, September 14 – 16, 1983, pp.378 – 402.
  • Michalewicz, Z., Improving Security in Statistical Databases, Proceedings of the 6th Australian Computer Science Conference, Sydney, February 6 – 8, 1983, pp.41 – 56.

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"Larry will be our digital expert that will enable our sales team and add that technological advantage that our competitors don't have."

Kerry Smith
CEO, PFD Foods
$1.6 billion in revenue
PFD Food Services uses Complexica's Order Management System

"Lion is one of Australasia’s largest food and beverage companies, supplying various alcohol products to wholesalers and retailers, and running multiple and frequent trade promotions throughout the year. The creation of promotional plans is a complicated task that requires considerable expertise and effort, and is an area where improved decision-making has the potential to positively impact the sales growth of various Lion products and product categories. Given Complexica’s world-class prediction and optimisation capabilities, award-winning software applications, and significant customer base in the food and alcohol industry, we have selected Complexica as our vendor of choice for trade promotion optimisation."

Mark Powell
National Sales Director, Lion
Lion

"At Liquor Barons we have an entrepreneurial mindset and are proud of being proactive rather than reactive in our approach to delivering the best possible customer service, which includes our premier liquor loyalty program and consumer-driven marketing. Given Complexica’s expertise in the Liquor industry, and significant customer base on both the retail and supplier side, we chose Complexica's Promotional Campaign Manager for digitalizing our spreadsheet-based approach for promotion planning, range management, and supplier portal access, which in turn will lift the sophistication of our key marketing processes."

Richard Verney
Marketing Manager
Liquor Barons

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"Dulux is a leading marketer and manufacturer of some of Australia’s most recognised paint brands. The Dulux Retail sales team manage a diverse portfolio of products and the execution of our sales and marketing activity within both large, medium and small format home improvement retail stores. We consistently challenge ourselves to innovate and grow and to create greater value for our customers and the end consumer. Given the rise and application of Artificial Intelligence in recent times, we have partnered with Complexica to help us identify the right insight at the right time to improve our focus, decision making, execution, and value creation."

Jay Bedford
National Retail Sales Manager
Dulux

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"Following a successful proof-of-concept earlier this year, we have selected Complexica as our vendor of choice for standardizing and optimising our promotional planning activities. Complexica’s Promotional Campaign Manager will provide us with a cloud-based platform for automating and optimising promotional planning for more than 2,700 stores, leading to improved decision-making, promotional effectiveness, and financial outcomes for our retail stores."

Rod Pritchard
Interim CEO, Metcash - Australian Liquor Marketers
$3.4 billion in revenue
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"After evaluating a number of software applications and vendors available on the market, we have decided to partner with Complexica for sales force optimisation and automation. We have found Complexica’s applications to be best suited for our extensive SKU range and large set of customers, being capable of generating recommendations and insights without burdening our sales staff with endless data analysis and interpretation. 

Aemel Nordin
Managing Director, Polyaire
Polyaire chooses Complexica for sales force optimisation and automation

"DuluxGroup is pleased to expand its relationship with Complexica, a valued strategic partner and supplier to our business. Complexica’s software will enable DuluxGroup to reduce the amount of time required to generate usable insights, increase our campaign automation capability, personalise our communications based on core metrics, and close the loop on sales results to optimise ongoing digital marketing activity."

James Jones
Group Head of CRM, DuluxGroup
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"Instead of hiring hundreds of data scientists to churn through endless sets of data to provide PFD with customer-specific insights and personalised recommendations, Larry, the Digital Analyst® will serve up the answers we need, when we need them, on a fully automated basis without the time and manual processes typically associated with complex analytical tasks.”

Richard Cohen
CIO, PFD Foods
$1.6 billion in revenue
PFD_Food_Services

"As a global innovator in the wine industry, Pernod Ricard Winemakers is always seeking ways to gain efficiencies and best practices across our operational sites. Given the rise of Artificial Intelligence and big data analytics in recent times, we have engaged Complexica to explore how we can achieve a best-in-class wine supply chain using their cloud-based software applications. The engagement is focused on Australia & New Zealand, with a view to expand globally."

Brett McKinnon
Global Operations Director, Pernod Ricard Winemakers
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"70% - 80% of what we do is about promotional activity, promotional pricing -- essentially what we take to the marketplace. This is one of the most comprehensive, most complex, one of the most difficult aspect of our business to get right. With Complexica, we will be best in class - there will not be anybody in the market that can perform this task more effectively or more efficiently than we can."

Doug Misener
CEO, Liquor Marketing Group
1,400+ retail stores
Liquor Marketing Group LMG uses Complexica's Promotional Campaign Manager

"The key thing that makes such a difference in working with Complexica is their focus on delivering the business benefits and outcomes of the project."

Doug Misener
CEO, Liquor Marketing Group
1,400+ retail stores
Liquor Marketing Group LMG uses Complexica's Promotional Campaign Manager

"Australia needs smart technology and people, and it has been a great experience for me to observe Complexica co-founders Zbigniew and Matt Michalewicz assemble great teams of people using their mathematical, logic, programming, and business skills to create world-beating products. They are leaders in taking our bright graduates and forging them into the businesses of the future."

Lewis Owens
Chairman of the Board, SA Water
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"Having known the team behind Complexica for some years ago now, I am struck by their ability to make the complex simple - to use data and all its possibilities for useful purpose. They bring real intelligence to AI and have an commercial approach to its application."

Andrew McEvoy
Managing Director, Fairfax Media - Digital
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"I have worked with the team at Complexica for a number of years and have found them professional, innovative and have appreciated their partnership approach to delivering solutions to complex problems."

Kelvin McGrath
CIO, Asciano
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“Working with Complexica to deliver Project Automate has been a true partnership from the initial stages of analysis of LMG’s existing processes and data handling, through scoping and development phase and onto delivery and process change adoption. The Complexica team have delivered considerable value at each stage and will continue to be a valued partner to LMG."

Gavin Saunders
CFO, Liquor Marketing Group
Liquor Marketing Group LMG uses Complexica's Promotional Campaign Manager

“Complexica’s Order Management System and Larry, the Digital Analyst will provide more than 300 Bunzl account managers with real-time analytics and insights, to empower decision making and enhanced support. This will create more time for our teams to enable them to see more customers each day and provide the Bunzl personalised experience.”

Kim Hetherington
CEO, Bunzl Australasia
Bunzl Australia uses Complexica's Order Management System

"The team behind Complexica develops software products that are at the cutting edge of science and technology, always focused on the opportunities to deliver a decisive competitive edge to business. It has always been a great experience collaborating with Matthew, Zbigniew and Co."

Mike Lomman
GM Demand Chain, Roy Hill Iron Ore
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"The innovations that the Complexica team are capable of continue to amaze me. They look at problems from the client side and use a unique approach to collaborating with and deeply understanding their customers challenges. This uniquely differentiates what they bring to market and how they deliver value to customers."

John Ansley
CIO, Toll Group
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"Rather than building out an internal analytics team to investigate and analyse countless data sets, we have partnered with Complexica to provide our sales reps with the answers they need, when they need them, on a fully automated basis. We are excited about the benefits that Larry, the Digital Analyst will deliver to our business.”

Peter Caughey
CEO, Coventry Group
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“Complexica’s Order Management System and Larry, the Digital Analyst will provide more than 300 Bunzl account managers with real-time analytics and insights, to empower decision making and enhanced support. This will create more time for our teams to enable them to see more customers each day and provide the Bunzl personalised experience.”

Kim Hetherington
CEO, Bunzl Australasia
Bunzl Australia uses Complexica's Order Management System

"After an evaluation process and successful proof-of-concept in 2016, we have chosen to partner with Complexica to upgrade the technological capability of our in-field sales force. The next-generation Customer Opportunity Profiler provided by Complexica will serve as a key tool for sales staff to optimise their daily activities, personalise conversations and interactions with customers, and analyse data to generate actionable insights."

Stephen Mooney
Group Sales Capability Manager, DuluxGroup
$1.7 billion in revenue
Dulux Group uses Complexica's Customer Opportunity Profiler

 "After evaluating a number of software systems available in the marketplace, we have ultimately selected Complexica as our vendor of choice for sales force automation and CRM. Given the large SKU range we carry and very long tail of customers we serve, Complexica’s applications are best suited to deal with this inherent complexity without burdening our staff with endless data entry."

Nick Carr
CEO, Haircaire Australia
Australia's largest distributor of haircare products
Haircare Australia to use Complexica's Customer Opportunity Profiler, CRM and Order Management System

“Asahi Beverages is Australia’s largest brewer, supplying a leading portfolio to wholesalers and retailers, including some of Australia’s most iconic brands. Last year Asahi Beverages acquired Carlton & United Breweries, which is its Australian alcohol business division. To harness the strength of our expanded portfolio, we partner with our customers to run multiple and frequent trade promotions throughout the year, delivering long-term growth for both our business and theirs. Given the inherent complexity in optimising promotional plans and our continued focus on revenue and growth management, we have selected Complexica as our vendor of choice after a successful Proof-of-Concept of its world-class optimisation capabilities.”

Kellie Barnes
Group Chief Information Officer
Asahi Beverages
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"Dulux is a leading marketer and manufacturer of some of Australia’s most recognised paint brands. The Dulux Retail sales team manage a diverse portfolio of products and the execution of our sales and marketing activity within both large, medium and small format home improvement retail stores. We consistently challenge ourselves to innovate and grow and to create greater value for our customers and the end consumer. Given the rise and application of Artificial Intelligence in recent times, we have partnered with Complexica to help us identify the right insight at the right time to improve our focus, decision making, execution, and value creation."

Jay Bedford
National Retail Sales Manager, DuluxGroup
Dulux Group uses Complexica's Customer Opportunity Profiler

"At Liquor Barons we have an entrepreneurial mindset and are proud of being proactive rather than reactive in our approach to delivering the best possible customer service, which includes our premier liquor loyalty program and consumer-driven marketing. Given Complexica’s expertise in the Liquor industry, and significant customer base on both the retail and supplier side, we chose Complexica's Promotional Campaign Manager for digitalizing our spreadsheet-based approach for promotion planning, range management, and supplier portal access, which in turn will lift the sophistication of our key marketing processes."

Richard Verney
Marketing Manager, Liquor Barons
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Some of our Customers