Siang Yew Chong

Contact

• workMalaysia Campus
  Jalan Broga
  43500 Semenyih
  Selangor Darul Ehsan
  Malaysia
• work+6 (03) 8924 8148
• siang-yew.chong@nottingham.edu.my
• http://baggins.nottingham.edu.my/~khczcsy/

Research Summary

Main research interests include broad areas in computational intelligence such as evolutionary computation and neural networks, machine learning, evolutionary game theory, and meta-heuristics… read more

Selected Publications

• S. Y. CHONG, P. TINO AND X. YAO, 2008. Measuring Generalization Performance in Co-evolutionary Learning IEEE Transactions on Evolutionary Computation. 12(4), 479-505
• S. Y. CHONG, P. TINO AND X. YAO, 2009. Relationship Between Generalization and Diversity in Co-evolutionary Learning IEEE Transactions on Computational Intelligence and AI in Games. 1(3), 214-232
• P. TINO, S. Y. CHONG, AND X. YAO, 2010. On Reliability of Simulations of Complex Co-evolutionary Process In: Proc. of the 24th European Conference on Modelling and Simulation (ECMS 2010), 1-4 June, 2010, Kuala Lumpur, Malaysia. 258-264
• C. W. KHENG, M. H. LIM, AND S. Y. CHONG, 2010. A Study on Lamarckian and Baldwinian Learning on Noisy and Noiseless Landscapes In: Proc. of the 24th European Conference on Modelling and Simulation (ECMS 2010), 1-4 June, 2010, Kuala Lumpur, Malaysia. 323-329

• View all publications

Current Research

Main research interests include broad areas in computational intelligence such as evolutionary computation and neural networks, machine learning, evolutionary game theory, and meta-heuristics (hyper-heuristics, memetic algorithms, etc.).

Some ongoing studies in various areas in computational intelligence includes:

1) evolutionary and co-evolutionary learning, 2) evolutionary optimisation (single and multi-objective), 3) representation, selection, and variation operators (e.g., self-adaptation), 4) statistical analysis (e.g., generalisation performance measures), 5) diversity maintenance (e.g., niching and speciation), 6) simulation and modeling for (strategic) decision-making processes (e.g., games such as the prisoner's dilemma), 7) evolutionary artificial neural networks.

• S. Y. CHONG, P. TINO, D. C. KU, AND X. YAO, 2012. Improving Generalization Performance in Co-evolutionary Learning IEEE Transactions on Evolutionary Computation. 16(1), 70-85
• C. W. KHENG, S. Y. CHONG, AND M. H. LIM and , 2012. Centroid-Based Memetic Algorithm: Adaptive Lamarckian and Baldwinian Learning International Journal of Systems Science. (In Press.)
• P. TINO, S. Y. CHONG, AND X. YAO, 2010. On Reliability of Simulations of Complex Co-evolutionary Process In: Proc. of the 24th European Conference on Modelling and Simulation (ECMS 2010), 1-4 June, 2010, Kuala Lumpur, Malaysia. 258-264
• C. W. KHENG, M. H. LIM, AND S. Y. CHONG, 2010. A Study on Lamarckian and Baldwinian Learning on Noisy and Noiseless Landscapes In: Proc. of the 24th European Conference on Modelling and Simulation (ECMS 2010), 1-4 June, 2010, Kuala Lumpur, Malaysia. 323-329
• C. W. KHENG, S. Y. CHONG, AND A. BARGIELA, 2009. Multi-resolution Optimisation: Application of Meta-heuristic in Function Remodelling In: Proc. of the 23rd European Conference on Modelling and Simulation (ECMS 2009), 9-12 June, 2009, Madrid, Spain. 834-840
• S. Y. CHONG, C. HILL, AND X. YAO, 2009. Co-evolutionary Learning of Contextual Asymmetric Actors In: Proc. of the 23rd European Conference on Modelling and Simulation (ECMS 2009), 9-12 June, 2009, Madrid, Spain.. 827-833
• S. Y. CHONG, P. TINO AND X. YAO, 2009. Relationship Between Generalization and Diversity in Co-evolutionary Learning IEEE Transactions on Computational Intelligence and AI in Games. 1(3), 214-232
• S. Y. CHONG, P. TINO AND X. YAO, 2008. Measuring Generalization Performance in Co-evolutionary Learning IEEE Transactions on Evolutionary Computation. 12(4), 479-505
• S. Y. CHONG, J. HUMBLE, G. KENDALL, J. LI, AND X. YAO, 2007. Iterated Prisoner's Dilemma and Evolutionary Game Theory. In: , ed., The Iterated Prisoners' Dilemma: 20 Years On World Scientific Press, Singapore. 23-62
• G. KENDALL, X. YAO, AND S. Y. CHONG (EDS), 2007. The Iterated Prisoners' Dilemma: 20 Years On World Scientific Press, Singapore.
• S. Y. CHONG AND X. YAO, 2007. Multiple Choices and Reputation in Multiagent Interactions IEEE Transactions on Evolutionary Computation. 11(6), 689-711
• S. Y. CHONG, J. HUMBLE, G. KENDALL, J. LI, AND X. YAO, 2007. Learning IPD Strategies through Co-evolution. In: G. KENDALL, X. YAO, AND S. Y. CHONG, ed., In The Iterated Prisoners' Dilemma: 20 Years On World Scientific Press, Singapore. 63-87
• S. Y. CHONG, J. HUMBLE, G. KENDALL, J. LI, AND X. YAO, 2007. The Iterated Prisoner's Dilemma: 20 Years On. In: , ed., The Iterated Prisoner's Dilemma: 20 Years On World Scientific Press, Singapore. 1-21
• C. M. FRAYN, A. N. PRYKE, AND S. Y. CHONG, 2006. Exploring the Effect of Proximity and Kinship on Mutual Cooperation in the Iterated Prisoner's Dilemma In: Proc. of the 9th International Conference on Parallel Problem Solving from Nature (PPSN IX), Lecture Notes in Computer Science, Vol. 4193, Reykjavik, Iceland, 2006. 701-710
• S. Y. CHONG AND X. YAO, 2006. Evolving Cooperation in Complex Behavioral Interactions through Reputation. In: GARY G. YEN AND DAVID B., ed., In Computational Intelligence: Principles and Practice IEEE Press. 237-256
• S. Y. CHONG AND X. YAO, 2006. Self-Adapting Payoff Matrices in Repeated Interactions In: Proc. of the 2006 IEEE Symposium on Computational Intelligence and Games (CIG 2006), IEEE Press, Piscataway, NJ, USA, 22-24 May 2006, Reno/Lake Tahoe, Nevada, USA. 103-110
• S. Y. CHONG AND X. YAO, 2005. Behavioral Diversity, Choices, and Noise in the Iterated Prisoner's Dilemma IEEE Transactions on Evolutionary Computation. 9(6), 540-551
• S. Y. CHONG, M. K. TAN, AND J. D. WHITE, 2005. Observing the Evolution of Neural Networks Learning to Play the Game of Othello IEEE Transactions on Evolutionary Computation. 9(2), 240-251
• S. Y. CHONG AND X. YAO, 2004. The Impact of Noise on Iterated Prisoner's Dilemma with Multiple Levels of Cooperation In: Proc. of the 2004 Congress on Evolutionary Computation (CEC 2004), IEEE Press, Piscataway, NJ, USA, 19-23 June 2004, Portland, Oregon, USA. 348-355
• S. Y. CHONG, D. C. KU, H. S. LIM, M. K. TAN, AND J. D. WHITE, 2003. Evolved Neural Networks Learning Othello Strategies In: Proc. of the 2003 Congress on Evolutionary Computation (CEC 2003), IEEE Press, Piscataway, NJ, USA, 8-12 December 2003, Canberra, Australia. 2222-2229