Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Rule-based integration of multiple neural networks evolved based on cellular automata
GB Song, SB Cho. Cited by 2
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Model-Based Object Recognition from a Complex Binary Imagery Using Genetic Algorithm
S Chakraborty, S De, K Deb. Cited by 2
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Design of a genetic-fuzzy system for planning crab gaits of a six-legged robot
DK Pratihar, K Deb, A Ghosh. Cited by 6
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Construction of Test Problems for Multi-Objective Optimization.
K Deb. Cited by 6
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On the Analysis of Self-Adaptive Evolutionary Algorithms
HG Beyer, K Deb. Cited by 9
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Optimum design of laminated composite plates with cutouts undergoing large amplitude oscillations
K Sivakumar, NGR Iyengar, K Deb. Cited by 11
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A Niched-Penalty Approach for Constraint Handling in Genetic Algorithms
K Deb, S Agrawal. Cited by 252
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Genetic Algorithm for Weights Assignment in Dissimilarity Function for Trademark Retrieval
DYM Chan, I King. Cited by 21
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Network‐Wide Optimal Scheduling of Transit Systems Using Genetic Algorithms
P Chakroborty, K Deb, B Srinivas. Cited by 18
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Multiobjective dynamic optimization of an industrial nylon 6 semibatch reactor using genetic algorithm
K Mitra, K Deb, SK Gupta. Cited by 114
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Optimum design of laminated composite plates with cutouts using a genetic algorithm
K Sivakumar, NGR Iyengar, K Deb. Cited by 72
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A Flexible Optimization Procedure for Mechanical Component Design Based on Genetic Adaptive Search
K Deb, MK Goyal. Cited by 84