Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Transformation of input space using statistical moments: EA-based approach
AJ Kattan, M Kampouridis, YS Ong, K Mehamdi. Cited by 1
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An integrated intelligent technique for monthly rainfall time series prediction
J Kajornrit, KW Wong, CC Fung, YS Ong. Cited by 9
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Network path optimization under dynamic conditions
YA Enaya, K Deb. Cited by 1
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Multi-scenario optimization using multi-criterion methods: A case study on Byzantine agreement problem
L Zhu, K Deb, SS Kulkarni. Cited by 20
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Non-uniform mapping in real-coded genetic algorithms
D Yashesh, K Deb, S Bandaru. Cited by 22
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On the performance of classification algorithms for learning Pareto-dominance relations
S Bandaru, AHC Ng, K Deb. Cited by 39
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Integrating user preferences and decomposition methods for many-objective optimization
A Mohammadi, MN Omidvar, X Li, K Deb. Cited by 49
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An improved bilevel evolutionary algorithm based on Quadratic Approximations
A Sinha, P Malo, K Deb. Cited by 76
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A review of hybrid evolutionary multiple criteria decision making methods
RC Purshouse, K Deb, MM Mansor, S Mostaghim, R Wang. Cited by 135
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Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization
S Jiang, YS Ong, J Zhang, L Feng. Cited by 317
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Optimum design of pultrusion process via evolutionary multi-objective optimization
CC Tutum, İ Baran, K Deb. Cited by 25
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Innovization: Discovering Innovative Solution Principles Through Optimization
K Deb. Cited by 8