Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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A Frequent Pattern Mining Algorithm for Understanding Genetic Algorithms
MN Le, YS Ong. Cited by 13
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Evolutionary Optimization with Dynamic Fidelity Computational Models
D Lim, YS Ong, Y Jin, B Sendhoff. Cited by 29
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Genetic Algorithm for Optimization of Multiple Objectives in Knowledge Discovery from Large Databases
S Dehuri, S Ghosh, AK Ghosh. Cited by 7
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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
AK Ghosh, S Ghosh, S Dehuri. Cited by 52
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Evolutionary Design in Engineering
K Deb
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Estimating Nadir Objective Vector : Hybrid of Evolutionary and Local Search
K Deb, K Miettinen, S Chaudhuri. Cited by 3
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An Improved Initial Population Strategy for Compliant Mechanism Designs Using Evolutionary Optimization
D Sharma, K Deb, NN Kishore. Cited by 7
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Interleaving Guidance in Evolutionary Multi-Objective Optimization
LT Bui, K Deb, HA Abbass, D Essam. Cited by 11
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A Review of Nadir Point Estimation Procedures Using Evolutionary Approaches: A Tale of Dimensionality Reduction
K Deb, K Miettinen. Cited by 16
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A Local Search Based Evolutionary Multi-objective Optimization Approach for Fast and Accurate Convergence
K Sindhya, K Deb, K Miettinen. Cited by 66
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Genetic and Evolutionary Computation Conference 2008 : GECCO 2008
M Keijzer, G Antoniol, CB Congdon, K Deb, C Doerr, N Hansen, JH Holmes, GS Hornby, DL Howard, JC Kennedy, S Kumar, FG Lobo, JF Miller, JH Moore, F Neumann, M Pelikán, JB Pollack, K Sastry, KO Stanley, A Stoica, E Talbi, I Wegener. Cited by 96
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Introduction to Evolutionary Multiobjective Optimization
K Deb. Cited by 110