Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Multi-objective Function Optimization Using Non-dominated Sorting Genetic Algorithms
N Srinivas, K Deb. Cited by 585
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Optimal Design of Binary Phase-Only Filters Using Genetic Algorithms
K Deb
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RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms
DE Goldberg, K Deb, H Kargupta, GR Harik. Cited by 324
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Toward a Better Understanding of Mixing in Genetic Algorithms
DE Goldberg, K Deb, D Thierens. Cited by 106
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Special Issue on Genetic Algorithms. Toward a Better Understanding of Mixing in Genetic Algorithms.
DE Goldberg, K Deb, D Thierens. Cited by 2
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Accounting for Noise in the Sizing of Populations* *Portions of this paper are excerpted from a paper by the authors entitled “Genetic Algorithms, Noise, and the Sizing of Populations” (Goldberg, Deb, & Clark, 1991).
DE Goldberg, K Deb, JH Clark. Cited by 34
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Ordering Genetic Algorithms and Deception.
H Kargupta, K Deb, DE Goldberg. Cited by 43
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Massive Multimodality, Deception, and Genetic Algorithms.
DE Goldberg, K Deb, JD Horn. Cited by 253
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Optimal design of a welded beam via genetic algorithms
K Deb. Cited by 450
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Binary and floating-point function optimization using messy genetic algorithms
K Deb. Cited by 51
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Genetic algorithms, noise, and the sizing of populations
DE Goldberg, K Deb, JH Clark. Cited by 597
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A Comparative Analysis of Selection Schemes Used in Genetic Algorithms
DE Goldberg, K Deb. Cited by 2422