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Chi Keong Goh

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2008
23EEBoyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong Goh: Memetic Gradient Search. IEEE Congress on Evolutionary Computation 2008: 2894-2901
22EEChi 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
21EEKay Chen Tan, Chi Keong Goh: Handling Uncertainties in Evolutionary Multi-Objective Optimization. WCCI 2008: 262-292
20EEKay 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)
19EED. 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)
18EESwee 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)
17EEEu 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)
2007
16EEChun Yew Cheong, Swee Chiang Chiam, Chi Keong Goh: Eliminating Positional Dependency in Binary Representation via Redundancy. FOCI 2007: 251-258
15EEJi 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
14EEC. 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
13EEChi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Y. S. Ong: Noise-induced features in robust multi-objective optimization problems. IEEE Congress on Evolutionary Computation 2007: 568-575
12EEJi 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
11EEChi 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
10EEChi 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
9EEKay 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)
8EEChi Keong Goh, Kay Chen Tan: An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization. IEEE Trans. Evolutionary Computation 11(3): 354-381 (2007)
7EEDasheng 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)
2006
6EESwee Chiang Chiam, Chi Keong Goh, Kay Chen Tan: Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer. EMO 2006: 893-907
5EEKay 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)
4EEKay 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)
2005
3EEEu 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
2EEChi Keong Goh, Han Yang Quek, Eu Jin Teoh, Kay Chen Tan: Evolution and incremental learning in the iterative prisoner's dilemma. Congress on Evolutionary Computation 2005: 2629-2636
1EEEik 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)

Coauthor Index

1Ji Hua Ang [12] [15]
2Chun Yew Cheong [9] [13] [16]
3Yong Han Chew [10]
4Swee Chiang Chiam [3] [6] [16] [18]
5E. Z. Ei [20]
6Weng Khuen Ho [7] [19]
7S. Y. Huang [19]
8Eik Fun Khor [1]
9Minh Nghia Le [23]
10Tong Heng Lee [1] [5]
11Boyang Li [23]
12Wei Ling Lim [10]
13D. S. Liu [19]
14Dasheng Liu [7]
15Abdullah Al Mamun [15] [18] [20]
16Y. S. Ong [13]
17Yew-Soon Ong [22] [23]
18Han Yang Quek [2]
19C. H. Tan [14]
20Kay Chen Tan [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [17] [18] [19] [20] [21] [22]
21H. J. Tang [17]
22Arthur Tay [14]
23Eu Jin Teoh [2] [3] [12] [15] [17] [22]
24Cheng Xiang [17]
25Y. J. Yang [4] [5]

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)