Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Domain-specific initial population strategy for compliant mechanisms using customized genetic algorithm
D Sharma, K Deb, NN Kishore. Cited by 41
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Guest Editorial Special Issue on Preference-Based Multiobjective Evolutionary Algorithms
K Deb, M Köksalan. Cited by 15
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An Interactive Evolutionary Multiobjective Optimization Method Based on Progressively Approximated Value Functions
K Deb, A Sinha, P Korhonen, J Wallenius. Cited by 237
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Feasibility Structure Modeling: An Effective Chaperone for Constrained Memetic Algorithms
SD Handoko, CK Kwoh, YS Ong. Cited by 89
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Toward an Estimation of Nadir Objective Vector Using a Hybrid of Evolutionary and Local Search Approaches
K Deb, K Miettinen, S Chaudhuri. Cited by 125
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Evolutionary multi-objective optimization and decision making for selective laser sintering
N Padhye, K Deb. Cited by 6
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Evolutionary algorithms in large-scale open pit mine scheduling
C Myburgh, K Deb. Cited by 27
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Investigating EA solutions for approximate KKT conditions in smooth problems
R Tulshyan, R Arora, K Deb, J Dutta. Cited by 23
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Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms
K Deb, N Padhye. Cited by 27
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Finding multiple solutions for multimodal optimization problems using a multi-objective evolutionary approach
K Deb, A Saha. Cited by 59
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Evolutionary multi-criterion optimization
K Deb. Cited by 1105
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Smooth Optimization for Effective Multiple Kernel Learning
Z Xu, R Jin, S Zhu, MRT Lyu, I King. Cited by 30