| A competitive-cooperative coevolutionary paradigm for dynamic multiobjective optimization CK Goh, KC Tan IEEE Transactions on Evolutionary Computation 13 (1), 103-127, 2008 | 612 | 2008 |
| A multiobjective memetic algorithm based on particle swarm optimization D Liu, KC Tan, CK Goh, WK Ho IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007 | 293 | 2007 |
| A distributed cooperative coevolutionary algorithm for multiobjective optimization KC Tan, YJ Yang, CK Goh IEEE Transactions on Evolutionary Computation 10 (5), 527-549, 2006 | 282 | 2006 |
| A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design CK Goh, KC Tan, DS Liu, SC Chiam European Journal of Operational Research 202 (1), 42-54, 2010 | 279 | 2010 |
| Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation KC Tan, CY Cheong, CK Goh European Journal of operational research 177 (2), 813-839, 2007 | 275 | 2007 |
| An investigation on noisy environments in evolutionary multiobjective optimization CK Goh, KC Tan IEEE Transactions on Evolutionary Computation 11 (3), 354-381, 2007 | 221 | 2007 |
| An evolutionary artificial immune system for multi-objective optimization KC Tan, CK Goh, AA Mamun, EZ Ei European Journal of Operational Research 187 (2), 371-392, 2008 | 217 | 2008 |
| On solving multiobjective bin packing problems using evolutionary particle swarm optimization DS Liu, KC Tan, SY Huang, CK Goh, WK Ho European Journal of Operational Research 190 (2), 357-382, 2008 | 204 | 2008 |
| Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization KC Tan, SC Chiam, AA Mamun, CK Goh European Journal of Operational Research 197 (2), 701-713, 2009 | 184 | 2009 |
| A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment WT Koo, CK Goh, KC Tan Memetic Computing 2, 87-110, 2010 | 173 | 2010 |
| Computational intelligence in expensive optimization problems Y Tenne, CK Goh Springer Science & Business Media, 2010 | 164 | 2010 |
| Evolutionary cluster-based synthetic oversampling ensemble (eco-ensemble) for imbalance learning P Lim, CK Goh, KC Tan IEEE transactions on cybernetics 47 (9), 2850-2861, 2016 | 156 | 2016 |
| Evolutionary multi-objective optimization in uncertain environments CK Goh, KC Tan Issues and Algorithms, Studies in Computational Intelligence 186, 5-18, 2009 | 150 | 2009 |
| Evolving better population distribution and exploration in evolutionary multi-objective optimization KC Tan, CK Goh, YJ Yang, TH Lee European Journal of Operational Research 171 (2), 463-495, 2006 | 142 | 2006 |
| Multiproblem surrogates: Transfer evolutionary multiobjective optimization of computationally expensive problems ATW Min, YS Ong, A Gupta, CK Goh IEEE Transactions on Evolutionary Computation 23 (1), 15-28, 2017 | 124 | 2017 |
| Hybrid multiobjective evolutionary design for artificial neural networks CK Goh, EJ Teoh, KC Tan IEEE Transactions on Neural Networks 19 (9), 1531-1548, 2008 | 123 | 2008 |
| Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction R Chandra, YS Ong, CK Goh Neurocomputing 243, 21-34, 2017 | 90 | 2017 |
| A time window neural network based framework for remaining useful life estimation P Lim, CK Goh, KC Tan 2016 international joint conference on neural networks (IJCNN), 1746-1753, 2016 | 83 | 2016 |
| Multi-objective memetic algorithms CK Goh, YS Ong, KC Tan Springer Science & Business Media, 2009 | 82 | 2009 |
| A constrained deep neural network for ordinal regression Y Liu, AWK Kong, CK Goh Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 79 | 2018 |
Professor Kay Chen TANChair Professor, Department of Computing, Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
