Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Towards multi-objective co-evolutionary problem solving
A Suresh, K Deb, VN Boddeti. Cited by 5
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Multimodal optimization by evolution strategies with repelling subpopulations
A Ahrari, K Deb. Cited by 2
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Evolutionary computation: An emerging framework for practical single and multicriterion optimization and decision making
K Deb. Cited by 2
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An improved visual analytics framework for high-dimensional pareto-optimal front: a case for multi-objective portfolio optimization
AKMK Talukder, K Deb. Cited by 2
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Visualization-based multi-criterion decision making with NIMBUS method using Palette Viz
K Deb, AKMKA Talukder. Cited by 3
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The (M-1)+ 1 framework of relaxed pareto dominance for evolutionary many-objective optimization
S Zhu, L Xu, E Goodman, K Deb, Z Lu. Cited by 3
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SOLVeR: A Blueprint for Collaborative Optimization in Practice
J Blank, K Deb. Cited by 3
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Evolutionary multi-and many-objective optimization: methodologies, applications and demonstration
K Deb, J Blank. Cited by 3
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Optimized electric machine design solutions with efficient handling of constraints
B Khoshoo, J Blank, T Pham, K Deb, S Foster. Cited by 5
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Multi-space evolutionary search for large-scale optimization
L Feng, Q Shang, Y Hou, KC Tan, YS Ong. Cited by 4
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Embedding a repair operator in evolutionary single and multi-objective algorithms-an exploitation-exploration perspective
K Deb, S Mittal, DK Saxena, ED Goodman. Cited by 6
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Discrete auto-regressive variational attention models for text modeling
X Fang, H Bai, J Li, Z Xu, M Lyu, I King. Cited by 4