Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Meaningful representation and recombination of variable length genomes
M Ryerkerk, RC Averill, K Deb, ED Goodman. Cited by 6
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Meme as Building Block for Evolutionary Optimization of Problem Instances
L Feng, YS Ong, A Tan, IWH Tsang. Cited by 1
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A bi-objective constrained optimization algorithm using a hybrid evolutionary and penalty function approach
K Deb, R Datta. Cited by 63
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On the sizing of a solar thermal electricity plant for multiple objectives using evolutionary optimization
K Deb, F Ruiz, M Luque, R Tewari, JM Cabello, JMC López. Cited by 10
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A Hybrid Framework for Evolutionary Multi-Objective Optimization
K Sindhya, K Miettinen, K Deb. Cited by 211
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A multiagent evolutionary framework based on trust for multiobjective optimization
S Jiang, J Zhang, YS Ong. Cited by 23
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Interactive differential evolution for image enhancement application in smart phone
MC Lee, SB Cho. Cited by 17
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Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems
MN Le, YS Ong, S Menzel, CW Seah, B Sendhoff. Cited by 17
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An evolutionary search paradigm that learns with past experiences
L Feng, YS Ong, IWH Tsang, A Tan. Cited by 37
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Pareto Rank Learning in Multi-objective Evolutionary Algorithms
CW Seah, YS Ong, IWH Tsang, S Jiang. Cited by 44
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Solving high objective problems in fixed interactions with the decision maker
A Sinha, A Pandey, K Deb. Cited by 2
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Finding a preferred diverse set of Pareto-optimal solutions for a limited number of function calls
F Siegmund, AHC Ng, K Deb. Cited by 25