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Mathematics / Global optimization / Maximum a posteriori estimation / Genetic algorithm / Estimation of distribution algorithm / Multidisciplinary design optimization / No free lunch in search and optimization / Combinatorial optimization / Surrogate model / Mathematical optimization / Statistics / Applied mathematics


Optimizing Without Derivatives: What Does the No Free Lunch Theorem Actually Say? Loris Serafino
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Document Date: 2014-07-01 08:28:02


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City

Philadelphia / Cambridge / /

Company

MIT Press / /

Country

United States / /

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Facility

Australian College of Kuwait / /

IndustryTerm

search process / computational intelligence algorithm / parent solutions / genetic algorithm / optimization algorithms / radial-basis-function networks / high-dimensional search / radiation therapy technologies / finite search space / search operators / local search / genetic algorithms / neural networks / evolutionary walk algorithm / pure random search / candidate solution / high-dimensional search spaces / candidate solutions / evolutionary algorithms / simulation software / search space / /

Organization

MIT / Society for Industrial and Applied Mathematics / Australian College of Kuwait / /

Person

Zbigniew Michalewicz / James E. Smith / E. Brochu / V / G. Gary Wang / Raymond Chiong / S. Shan / A. E. Eiben / Marc Schoenauer / /

Position

mathematics lecturer / /

PublishedMedium

IEEE Transactions on Evolutionary Computation / /

Technology

radiation therapy technologies / optimization algorithms / Data Mining / simulation / computational intelligence algorithm / recombination / evolutionary walk algorithm / /

URL

http /

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