Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Omni-optimizer: A generic evolutionary algorithm for single and multi-objective optimization
K Deb, SK Tiwari. Cited by 405
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Diversity-adaptive parallel memetic algorithm for solving large scale combinatorial optimization problems
J Tang, MH Lim, YS Ong. Cited by 145
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Optimization of process parameters of mechanical type advanced machining processes using genetic algorithms
NK Jain, VK Jain, K Deb. Cited by 155
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Evolutionary Aggregation and Refinement of Bayesian Networks
KJ Kim, SB Cho. Cited by 2
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Evolutionary Othello Players Boosted by Opening Knowledge
KJ Kim, SB Cho. Cited by 5
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Trusted Evolutionary Algorithm
D Lim, YS Ong, Y Jin, B Sendhoff. Cited by 18
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Curse and Blessing of Uncertainty in Evolutionary Algorithm Using Approximation
YS Ong, Z Zhou, D Lim. Cited by 60
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Ergonomic Design of an Optimal Hindi Keyboard for Convenient Use
P Deshwal, K Deb. Cited by 5
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A Population-Based, Parent Centric Procedure for Constrained Real-Parameter Optimization
A Sinha, A Srinivasan, K Deb. Cited by 34
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Improved Pruning of Non-Dominated Solutions Based on Crowding Distance for Bi-Objective Optimization Problems
S Kukkonen, K Deb. Cited by 139
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On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods
PK Shukla, K Deb. Cited by 168
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Inverse multi-objective robust evolutionary design
D Lim, YS Ong, Y Jin, B Sendhoff, B Lee. Cited by 41