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ORCIDKay Chen Tan
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Publications
- 2018
[j153]Pin Lim
, Chi Keong Goh, Kay Chen Tan:
A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications. IEEE Trans. Emerg. Top. Comput. Intell. 2(3): 204-213 (2018)- 2017
- [j141]Pin Lim, Chi Keong Goh, Kay Chen Tan:
Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning. IEEE Trans. Cybern. 47(9): 2850-2861 (2017) - [j136]Pin Lim, Chi Keong Goh, Kay Chen Tan, Partha Sarathi Dutta:
Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble. IEEE Trans. Neural Networks Learn. Syst. 28(1): 136-148 (2017) - 2016
- [c92]Pin Lim, Chi Keong Goh, Kay Chen Tan:
A time window neural network based framework for Remaining Useful Life estimation. IJCNN 2016: 1746-1753 - 2012
- [j96]Jun Yong Chia, Chi Keong Goh, Vui Ann Shim, Kay Chen Tan:
A data mining approach to evolutionary optimisation of noisy multi-objective problems. Int. J. Syst. Sci. 43(7): 1217-1247 (2012) - 2011
- [j90]Jun Yong Chia, Chi Keong Goh, Kay Chen Tan, Vui Ann Shim:
Memetic informed evolutionary optimization via data mining. Memetic Comput. 3(2): 73-87 (2011) - 2010
- [j79]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. Eur. J. Oper. Res. 202(1): 42-54 (2010) - [j76]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) - [j73]Wee Tat Koo, Chi Keong Goh, Kay Chen Tan:
A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment. Memetic Comput. 2(2): 87-110 (2010) - 2009
- [b3]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 [contents] - [j72]Kay Chen Tan, Swee Chiang Chiam, Abdullah Al Mamun, Chi Keong Goh:
Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization. Eur. J. Oper. Res. 197(2): 701-713 (2009) - [j66]Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan:
A hybrid evolutionary approach for heterogeneous multiprocessor scheduling. Soft Comput. 13(8-9): 833-846 (2009) - [j64]Chi Keong Goh, Kay Chen Tan:
A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 13(1): 103-127 (2009) - [j63]Hanyang Quek, Kay Chen Tan, Chi Keong Goh, Hussein A. Abbass:
Evolution and Incremental Learning in the Iterated Prisoner's Dilemma. IEEE Trans. Evol. Comput. 13(2): 303-320 (2009) - 2008
- [j59]Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun, E. Z. Ei:
An evolutionary artificial immune system for multi-objective optimization. Eur. J. Oper. Res. 187(2): 371-392 (2008) - [j58]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. Eur. J. Oper. Res. 190(2): 357-382 (2008) - [j56]Eu Jin Teoh, Kay Chen Tan, Huajin 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) - [j53]Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan:
Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks. IEEE Trans. Neural Networks 19(9): 1531-1548 (2008) - [j52]Swee Chiang Chiam, Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun:
Improving Locality in Binary Representation via Redundancy. IEEE Trans. Syst. Man Cybern. Part B 38(3): 808-825 (2008) - [c54]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 - [c52]Kay Chen Tan, Chi Keong Goh:
Handling Uncertainties in Evolutionary Multi-Objective Optimization. WCCI 2008: 262-292 - 2007
- [j51]Kay Chen Tan, Chun Yew Cheong, Chi Keong Goh:
Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation. Eur. J. Oper. Res. 177(2): 813-839 (2007) - [j48]Chi Keong Goh, Kay Chen Tan:
An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 11(3): 354-381 (2007) - [j47]Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho:
A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization. IEEE Trans. Syst. Man Cybern. Part B 37(1): 42-50 (2007) - [c51]Chi Keong Goh, Kay Chen Tan, Arthur Tay:
A Competitive-Cooperation Coevolutionary Paradigm for Multi-objective Optimization. ISIC 2007: 255-260 - [c50]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 - [c48]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 - [c39]Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan:
Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer. EMO 2007: 893-907 - [p3]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 - [p2]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 - [p1]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 - 2006
- [j44]Kay Chen Tan, Chi Keong Goh, Y. J. Yang, Tong Heng Lee:
Evolving better population distribution and exploration in evolutionary multi-objective optimization. Eur. J. Oper. Res. 171(2): 463-495 (2006) - [j41]Kay Chen Tan, Y. J. Yang, Chi Keong Goh:
A distributed Cooperative coevolutionary algorithm for multiobjective optimization. IEEE Trans. Evol. Comput. 10(5): 527-549 (2006) - [c37]Chi Keong Goh, Kay Chen Tan:
Noise Handling in Evolutionary Multi-Objective Optimization. IEEE Congress on Evolutionary Computation 2006: 1354-1361 - [c35]Chi Keong Goh, Hanyang Quek, Kay Chen Tan, Hussein A. Abbass:
Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach. IEEE Congress on Evolutionary Computation 2006: 1624-1631 - [c34]Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho:
On Solving Multiobjective Bin Packing Problems Using Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2006: 2095-2102 - 2005
- [j36]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) - [c30]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 - [c29]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 - 2003
- [c23]Kay Chen Tan, Y. J. Yang, Chi Keong Goh, Tong Heng Lee:
Enhanced distribution and exploration for multiobjective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2003: 2521-2528
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