Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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A Knee-Based Multi-objective Optimization for Gait Cycle of 25-DOF NAO Humanoid Robot
P Gupta, DK Pratihar, K Deb. Cited by 3
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Evolutionary many-objective optimisation for pathfinding problems
J Weise. Cited by 3
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A unified innovized progress operator for performance enhancement in evolutionary multi-and many-objective optimization
S Mittal, DK Saxena, K Deb, ED Goodman. Cited by 5
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Utilizing innovization to solve large-scale multi-objective chesapeake bay watershed problem
G Toscano, H Razavi, AP Nejadhashemi, K Deb, L Linker. Cited by 6
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Optimizing keyboard configuration using single and multi-objective evolutionary algorithms
A Khan, K Deb. Cited by 7
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Variable functioning and its application to large scale steel frame design optimization
AH Gandomi, K Deb, RC Averill, S Rahnamayan, MN Omidvar. Cited by 8
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RegEMO: Sacrificing Pareto-optimality for regularity in multi-objective problem-solving
R Guha, K Deb. Cited by 8
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Interpretable self-organizing map assisted interactive multi-criteria decision-making following Pareto-Race
D Yadav, P Ramu, K Deb. Cited by 13
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Multi-objective robust optimization and decision-making using evolutionary algorithms
D Yadav, P Ramu, K Deb. Cited by 9
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Compromising Pareto-Optimality With Regularity in Platform-Based Multiobjective Optimization
R Guha, K Deb. Cited by 10
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Moaz: A multi-objective automl-zero framework
R Guha, W Ao, S Kelly, V Boddeti, E Goodman, W Banzhaf, K Deb. Cited by 10
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Malware classification with disentangled representation learning of evolutionary triplet network
SJ Bu, SB Cho. Cited by 10