Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Editorial to special issue on evolutionary computation in dynamic and uncertain environments
S Yang, YS Ong, Y Jin. Cited by 5
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Max-min surrogate-assisted evolutionary algorithm for robust design
YS Ong, PB Nair, K Lum. Cited by 215
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A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem
Y Xu, M Lim, YS Ong, J Tang. Cited by 20
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Adaptation for parallel memetic algorithm based on population entropy
J Tang, MH Lim, YS Ong. Cited by 24
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Towards estimating nadir objective vector using evolutionary approaches
K Deb, S Chaudhuri, K Miettinen. Cited by 69
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Multi-objective test problems, linkages, and evolutionary methodologies
K Deb, A Sinha, S Kukkonen. Cited by 145
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Comparison of multi-modal optimization algorithms based on evolutionary algorithms
G Singh, K Deb. Cited by 176
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Innovization
K Deb, A Srinivasan. Cited by 278
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Reference point based multi-objective optimization using evolutionary algorithms
K Deb, J Sundar. Cited by 566
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Control of flow using genetic algorithm for a circular cylinder executing rotary oscillation
TK Sengupta, K Deb, SB Talla. Cited by 25
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Evolutionary neural networks for anomaly detection based on the behavior of a program
S Han, SB Cho. Cited by 155
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Optimal Strategies of the Iterated Prisoner's Dilemma Problem for Multiple Conflicting Objectives
S Mittal, K Deb. Cited by 7