Chi Keong Goh

Chi Keong Goh, Ferrante Neri: Computational intelligence optimisation in the presence of uncertainties. Int. J. Systems Science 43(7): 1191-1192 (2012)

Jun Yong Chia, Chi Keong Goh, Vui Ann Shim, K. C. Tan: A data mining approach to evolutionary optimisation of noisy multi-objective problems. Int. J. Systems Science 43(7): 1217-1247 (2012)

Jun Yong Chia, Chi Keong Goh, K. C. Tan, Vui Ann Shim: Memetic informed evolutionary optimization via data mining. Memetic Computing 3(2): 73-87 (2011)

Chi Keong Goh, Dudy Lim, Learning Ma, Yew-Soon Ong, Partha Dutta: A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems. IEEE Congress on Evolutionary Computation 2011: 744-749

Chi Keong Goh, Kay Chen Tan, D. S. Liu, Swee Chiang Chiam: A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design. European Journal of Operational Research 202(1): 42-54 (2010)

Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong: An investigation on noise-induced features in robust evolutionary multi-objective optimization. Expert Syst. Appl. 37(8): 5960-5980 (2010)

Wee Tat Koo, Chi Keong Goh, Kay Chen Tan: A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment. Memetic Computing 2(2): 87-110 (2010)

Cecilia Di Chio, Stefano Cagnoni, Carlos Cotta, Marc Ebner, Anikó Ekárt, Anna Esparcia-Alcázar, Chi Keong Goh, Juan J. Merelo Guervós, Ferrante Neri, Mike Preuss, Julian Togelius, Georgios N. Yannakakis (Eds.): Applications of Evolutionary Computation, EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6024, Springer 2010, isbn 978-3-642-12238-5

Chi Keong Goh, Kay Chen Tan: Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms. Studies in Computational Intelligence 186, Springer 2009, isbn 978-3-540-95975-5, pp. 1-251

Kay Chen Tan, Swee Chiang Chiam, Abdullah Al Mamun, Chi Keong Goh: Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization. European Journal of Operational Research 197(2): 701-713 (2009)

Chi Keong Goh, Eu Jin Teoh, K. C. Tan: A hybrid evolutionary approach for heterogeneous multiprocessor scheduling. Soft Comput. 13(8-9): 833-846 (2009)

Chi Keong Goh, Kay Chen Tan: A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization. IEEE Trans. Evolutionary Computation 13(1): 103-127 (2009)

Hanyang Quek, Kay Chen Tan, Chi Keong Goh, Hussein A. Abbass: Evolution and Incremental Learning in the Iterated Prisoner's Dilemma. IEEE Trans. Evolutionary Computation 13(2): 303-320 (2009)

Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun, E. Z. Ei: An evolutionary artificial immune system for multi-objective optimization. European Journal of Operational Research 187(2): 371-392 (2008)

D. S. Liu, Kay Chen Tan, S. Y. Huang, Chi Keong Goh, Weng Khuen Ho: On solving multiobjective bin packing problems using evolutionary particle swarm optimization. European Journal of Operational Research 190(2): 357-382 (2008)

Eu Jin Teoh, Kay Chen Tan, H. J. Tang, Cheng Xiang, Chi Keong Goh: An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem. Neurocomputing 71(7-9): 1359-1372 (2008)

Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan: Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks. IEEE Transactions on Neural Networks 19(9): 1531-1548 (2008)

Swee Chiang Chiam, Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun: Improving Locality in Binary Representation via Redundancy. IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(3): 808-825 (2008)

Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong Goh: Memetic Gradient Search. IEEE Congress on Evolutionary Computation 2008: 2894-2901

Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin Teoh: An investigation on evolutionary gradient search for multi-objective optimization. IEEE Congress on Evolutionary Computation 2008: 3741-3746

Kay Chen Tan, Chi Keong Goh: Handling Uncertainties in Evolutionary Multi-Objective Optimization. WCCI 2008: 262-292

Kay Chen Tan, Chun Yew Cheong, Chi Keong Goh: Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation. European Journal of Operational Research 177(2): 813-839 (2007)

Chi Keong Goh, Kay Chen Tan: An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization. IEEE Trans. Evolutionary Computation 11(3): 354-381 (2007)

Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho: A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization. IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(1): 42-50 (2007)

Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong: Noise-induced features in robust multi-objective optimization problems. IEEE Congress on Evolutionary Computation 2007: 568-575

Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, Abdullah Al Mamun: Multi-objective evolutionary Recurrent Neural Networks for system identification. IEEE Congress on Evolutionary Computation 2007: 1586-1592

C. H. Tan, Chi Keong Goh, Kay Chen Tan, Arthur Tay: A cooperative coevolutionary algorithm for multiobjective particle swarm optimization. IEEE Congress on Evolutionary Computation 2007: 3180-3186

Hanyang Quek, Chi Keong Goh: Adaptation of Iterated Prisoner's Dilemma Strategies by Evolution and Learning. CIG 2007: 40-47

Chun Yew Cheong, Swee Chiang Chiam, Chi Keong Goh: Eliminating Positional Dependency in Binary Representation via Redundancy. FOCI 2007: 251-258

Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan: Designing a Recurrent Neural Network-based Controller for Gyro-Mirror Line-of-Sight Stabilization System using an Artificial Immune Algorithm. Advances in Evolutionary Computing for System Design 2007: 189-209

Chi Keong Goh, Wei Ling Lim, Yong Han Chew, Kay Chen Tan: A Multi-Objective Evolutionary Algorithm for Channel Routing Problems. Evolutionary Scheduling 2007: 405-436

Chi Keong Goh, Kay Chen Tan: Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 457-478

Kay Chen Tan, Chi Keong Goh, Y. J. Yang, Tong Heng Lee: Evolving better population distribution and exploration in evolutionary multi-objective optimization. European Journal of Operational Research 171(2): 463-495 (2006)

Kay Chen Tan, Y. J. Yang, Chi Keong Goh: A distributed Cooperative coevolutionary algorithm for multiobjective optimization. IEEE Trans. Evolutionary Computation 10(5): 527-549 (2006)

Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan: Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer. EMO 2006: 893-907

Eik Fun Khor, Kay Chen Tan, Tong Heng Lee, Chi Keong Goh: A Study on Distribution Preservation Mechanism in Evolutionary Multi-Objective Optimization. Artif. Intell. Rev. 23(1): 31-33 (2005)

Eu Jin Teoh, Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan: Adapting evolutionary dynamics of variation for multi-objective optimization. Congress on Evolutionary Computation 2005: 1290-1297

Chi Keong Goh, Hanyang Quek, Eu Jin Teoh, Kay Chen Tan: Evolution and incremental learning in the iterative prisoner's dilemma. Congress on Evolutionary Computation 2005: 2629-2636