Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Worst-case conditional hardness and fast algorithms with random inputs for non-dominated sorting
S Yingchareonthawornchai, PC Roy, B Laekhanukit, E Torng, K Deb. Cited by 4
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Rise of Evolutionary Multi-criterion optimization: a brief history of time with key contributions
K Deb. Cited by 4
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An ANN-assisted repair operator for evolutionary multiobjective optimization
S Mittal, DK Saxena, K Deb, E Goodman. Cited by 4
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Trend mining 2.0: Automating the discovery of variable trends in the objective space
H Smedberg, S Bandaru, AHC Ng, K Deb. Cited by 6
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Evolutionary reinforcement learning for adaptively detecting database intrusions
SG Choi, SB Cho. Cited by 6
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Ranking multi-metric scientific achievements using a concept of pareto optimality
S Rahnamayan, S Mahdavi, K Deb, A Asilian Bidgoli. Cited by 8
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On a practical notion of Geoffrion proper optimality in multicriteria optimization
PK Shukla, J Dutta, K Deb, P Kesarwani. Cited by 8
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Approximate bilevel optimization with population-based evolutionary algorithms
K Deb, A Sinha, P Malo, Z Lu. Cited by 8
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Gap finding and validation in evolutionary multi-and many-objective optimization
PV Pellicer, MI Escudero, SF Alzueta, K Deb. Cited by 10
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Towards sustainable forest management strategies with moeas
P Back, A Suominen, P Malo, O Tahvonen, J Blank, K Deb. Cited by 11
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A novel selection mechanism for evolutionary algorithms with metameric variable-length representations: M. Ryerkerk et al
M Ryerkerk, R Averill, K Deb, E Goodman. Cited by 11
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Unconventional optimization for achieving well-informed design solutions for the automobile industry
A Gaur, AKM Khaled Talukder, K Deb, S Tiwari, S Xu, D Jones. Cited by 13