Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Scope of stationary multi-objective evolutionary optimization: a case study on a hydro-thermal power dispatch problem
K Deb. Cited by 23
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On Handling a Large Number of Objectives A Posteriori and During Optimization
D Brockhoff, DK Saxena, K Deb, E Zitzler. Cited by 30
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Innovization: Discovery of Innovative Design Principles Through Multiobjective Evolutionary Optimization
K Deb, A Srinivasan. Cited by 45
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Current trends in evolutionary multi-objective optimization
K Deb. Cited by 70
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Hybrid evolutionary algorithm with Hermite radial basis function interpolants for computationally expensive adjoint solvers
YS Ong, K Lum, PB Nair. Cited by 63
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Noise-induced features in robust multi-objective optimization problems
CK Goh, KC Tan, CY Cheong, YS Ong. Cited by 5
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A study on the design issues of Memetic Algorithm
QH Nguyen, YS Ong, N Krasnogor. Cited by 76
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A Reliable Classification of Gene Clusters for Cancer Samples Using a Hybrid Multi-objective Evolutionary Procedure
K Deb, AR Reddy, S Chaudhuri. Cited by 1
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NEMO: neural enhancement for multiobjective optimization
A Garrett, GV Dozier, K Deb. Cited by 5
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A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data
AP Anand, PN Suganthan, K Deb. Cited by 5
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Reliability-based optimization for multiple constraints with evolutionary algorithms
D Daum, K Deb, J Branke. Cited by 26
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Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization
K Deb, R Tewari, M Dixit, J Dutta. Cited by 27