Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Development, analysis and applications of a quantitative methodology for assessing customer satisfaction using evolutionary optimization
S Bandaru, A Gaur, K Deb, VR Khare, R Chougule, P Bandyopadhyay. Cited by 15
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Mobile Information Recommendation Using Multi-Criteria Decision Making with Bayesian Network
HS Park, MH Park, SB Cho. Cited by 20
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Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP
L Feng, YS Ong, M Lim, IWH Tsang. Cited by 160
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Unwanted Feature Interactions Between the Problem and Search Operators in Evolutionary Multi-objective Optimization
C Byers, BHC Cheng, K Deb. Cited by 7
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Dynamic Resampling for Preference-based Evolutionary Multi-Objective Optimization of Stochastic Systems
F Siegmund, AHC Ng, K Deb. Cited by 4
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Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization
S Bandaru, K Deb. Cited by 13
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A Multimodal Approach for Evolutionary Multi-objective Optimization (MEMO): Proof-of-Principle Results
CC Tutum, K Deb. Cited by 16
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An Optimality Theory Based Proximity Measure for Evolutionary Multi-Objective and Many-Objective Optimization
K Deb, M Abouhawwash, J Dutta. Cited by 18
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Hybrid Dynamic Resampling for Guided Evolutionary Multi-Objective Optimization
F Siegmund, AHC Ng, K Deb. Cited by 21
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Towards Understanding Bilevel Multi-objective Optimization with Deterministic Lower Level Decisions
A Sinha, P Malo, K Deb. Cited by 30
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Multi-Objective Evolutionary Algorithms
K Deb. Cited by 102
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U-NSGA-III: A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives: Proof-of-Principle Results
H Seada, K Deb. Cited by 144