Chi Keong Goh

	2011
36		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
35		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)
	2010
34		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: Applications of Evolutionary Computation, EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part I Springer 2010
33		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)
32		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)
31		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)
	2009
30		Chi Keong Goh, Kay Chen Tan: Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms Springer 2009: 1-251
29		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)
28		Chi Keong Goh, Kay Chen Tan: A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization. IEEE Trans. Evolutionary Computation 13(1): 103-127 (2009)
27		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)
26		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)
	2008
25		Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong Goh: Memetic Gradient Search. IEEE Congress on Evolutionary Computation 2008: 2894-2901
24		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
23		Kay Chen Tan, Chi Keong Goh: Handling Uncertainties in Evolutionary Multi-Objective Optimization. WCCI 2008: 262-292
22		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)
21		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)
20		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)
19		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)
18		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)
	2007
17		Hanyang Quek, Chi Keong Goh: Adaptation of Iterated Prisoner's Dilemma Strategies by Evolution and Learning. CIG 2007: 40-47
16		Chun Yew Cheong, Swee Chiang Chiam, Chi Keong Goh: Eliminating Positional Dependency in Binary Representation via Redundancy. FOCI 2007: 251-258
15		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
14		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
13		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
12		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
11		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
10		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
9		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)
8		Chi Keong Goh, Kay Chen Tan: An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization. IEEE Trans. Evolutionary Computation 11(3): 354-381 (2007)
7		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)
	2006
6		Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan: Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer. EMO 2006: 893-907
5		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)
4		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)
	2005
3		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
2		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
1		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)

Coauthor Index

1	Hussein A. Abbass	[27]
2	Ji Hua Ang	[12] [15]
3	Stefano Cagnoni	[34]
4	Chun Yew Cheong	[9] [13] [16] [32]
5	Yong Han Chew	[10]
6	Jun Yong Chia	[35]
7	Swee Chiang Chiam	[3] [6] [16] [19] [29] [33]
8	Cecilia Di Chio	[34]
9	Carlos Cotta	[34]
10	Partha Dutta	[36]
11	Marc Ebner	[34]
12	E. Z. Ei	[22]
13	Anikó Ekárt	[34]
14	Anna Esparcia-Alcázar (Anna Isabel Esparcia-Alcázar)	[34]
15	Juan Julián Merelo Guervós (Juan J. Merelo Guervós)	[34]
16	Weng Khuen Ho	[7] [21]
17	S. Y. Huang	[21]
18	Eik Fun Khor	[1]
19	Wee Tat Koo	[31]
20	Minh Nghia Le	[25]
21	Tong Heng Lee	[1] [5]
22	Boyang Li	[25]
23	Dudy Lim	[36]
24	Wei Ling Lim	[10]
25	D. S. Liu	[21] [33]
26	Dasheng Liu	[7]
27	Learning Ma	[36]
28	Abdullah Al Mamun	[15] [19] [22] [29]
29	Ferrante Neri	[34]
30	Yew-Soon Ong	[13] [24] [25] [32] [36]
31	Mike Preuss (Mike Preuß)	[34]
32	Hanyang Quek	[2] [17] [27]
33	Vui Ann Shim	[35]
34	C. H. Tan	[14]
35	K. C. Tan	[26] [35]
36	Kay Chen Tan	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [18] [19] [20] [21] [22] [23] [24] [27] [28] [29] [30] [31] [32] [33]
37	H. J. Tang	[18]
38	Arthur Tay	[14]
39	Eu Jin Teoh	[2] [3] [12] [15] [18] [20] [24] [26]
40	Julian Togelius	[34]
41	Cheng Xiang	[18]
42	Y. J. Yang	[4] [5]
43	Georgios N. Yannakakis	[34]

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