| Foundations of constraint satisfaction: Computation in cognitive science E Tsang Academic press, 2014 | 3232 | 2014 |
| Expensive multiobjective optimization by MOEA/D with Gaussian process model Q Zhang, W Liu, E Tsang, B Virginas IEEE Transactions on Evolutionary Computation 14 (3), 456-474, 2009 | 867 | 2009 |
| Guided local search and its application to the traveling salesman problem C Voudouris, E Tsang European journal of operational research 113 (2), 469-499, 1999 | 719 | 1999 |
| Guided local search C Voudouris, A Alsheddy, A Alhindi Handbook of Heuristics, 427-467, 2025 | 566 | 2025 |
| Combining model-based and genetics-based offspring generation for multi-objective optimization using a convergence criterion A Zhou, Y Jin, Q Zhang, B Sendhoff, E Tsang 2006 IEEE international conference on evolutionary computation, 892-899, 2006 | 482 | 2006 |
| DE/EDA: A new evolutionary algorithm for global optimization J Sun, Q Zhang, EPK Tsang Information Sciences 169 (3-4), 249-262, 2005 | 425 | 2005 |
| An evolutionary algorithm with guided mutation for the maximum clique problem Q Zhang, J Sun, E Tsang IEEE transactions on evolutionary computation 9 (2), 192-200, 2005 | 299 | 2005 |
| Prediction-based population re-initialization for evolutionary dynamic multi-objective optimization A Zhou, Y Jin, Q Zhang, B Sendhoff, E Tsang International conference on evolutionary multi-criterion optimization, 832-846, 2007 | 297 | 2007 |
| Fast local search and guided local search and their application to British Telecom's workforce scheduling problem E Tsang, C Voudouris Operations Research Letters 20 (3), 119-127, 1997 | 223 | 1997 |
| Hypernetworks: A molecular evolutionary architecture for cognitive learning and memory BT Zhang IEEE computational intelligence magazine 3 (3), 49-63, 2008 | 218 | 2008 |
| GENET: A connectionist architecture for solving constraint satisfaction problems by iterative improvement A Davenport, E Tsang, CJ Wang, K Zhu AAAI 94, 325-330, 1994 | 208 | 1994 |
| Partial constraint satisfaction problems and guided local search C Voudouris, E Tsang Proc., Practical Application of Constraint Technology (PACT'96), London, 337-356, 1996 | 158 | 1996 |
| MOEA/D with NBI-style Tchebycheff approach for portfolio management Q Zhang, H Li, D Maringer, E Tsang IEEE congress on evolutionary computation, 1-8, 2010 | 132 | 2010 |
| EDDIE-Automation, a decision support tool for financial forecasting E Tsang, P Yung, J Li Decision Support Systems 37 (4), 559-565, 2004 | 132 | 2004 |
| Novel constraints satisfaction models for optimization problems in container terminals H Rashidi, EPK Tsang Applied Mathematical Modelling 37 (6), 3601-3634, 2013 | 129 | 2013 |
| Guided local search for solving SAT and weighted MAX-SAT problems P Mills, E Tsang Journal of Automated Reasoning 24 (1), 205-223, 2000 | 122 | 2000 |
| An heterogeneous, endogenous and coevolutionary GP-based financial market S Martinez-Jaramillo, EPK Tsang IEEE Transactions on Evolutionary Computation 13 (1), 33-55, 2009 | 121 | 2009 |
| Hybrid estimation of distribution algorithm for global optimization Q Zhang, J Sun, E Tsang, J Ford Engineering computations 21 (1), 91-107, 2004 | 119 | 2004 |
| Improving Technical Analysis Predictions: An Application of Genetic Programming. J Li, EPK Tsang FLAIRS, 108-112, 1999 | 109 | 1999 |
| A model-based evolutionary algorithm for bi-objective optimization A Zhou, Q Zhang, Y Jin, E Tsang, T Okabe 2005 IEEE congress on evolutionary computation 3, 2568-2575, 2005 | 105 | 2005 |
Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STARVerified email at cfar.a-star.edu.sg
