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Solving Quadratic Assignment Problems With Parallel Genetic Algorithms Jerri Hines John T. Thorpe  Department of Computer Science Kenneth B. Winiecki, Jr. y
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Document Date: 2001-12-16 00:05:36


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File Size: 133,66 KB

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City

New York / Greenville / Reading / /

Company

Computer Science Press / Loral / /

Country

Netherlands / /

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Facility

Computer Science University of Nevada Reno / University of Michigan / /

IndustryTerm

encoded parent solutions / identical solutions / parallel processing machine / heuristic search algorithms / heuristic search technique / exhaustive search methods / exhaustive search algorithms / transportation costs / parallel processing / natural systems / exhaustive search / exhaustive search method / bad solution / then designing arti cial systems software / worst solutions / genetic algorithm / polynomial time algorithm / Genetic algorithms / exhaustive search techniques / parallel processing system / feasible solutions / involve having all identical solutions / /

Organization

Computer Science University of Nevada Reno / Solving Quadratic Assignment Problems With Parallel Genetic Algorithms Jerri Hines John T. Thorpe Department of Computer Science Kenneth B. Winiecki / National Aeronautics and Space Administration / Department of Electrical Engineering Clemson University Clemson / the University of Michigan / /

Person

Kenneth B. Winiecki / Jr. / Van Nostrand Reinhold / L. Davis / John Holland / John T. Thorpe / Frederick C. Harris / Jr. / /

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Position

editor / model / i.e / /

ProgrammingLanguage

Pascal / /

ProvinceOrState

New York / Michigan / South Carolina / Massachusetts / /

PublishedMedium

Machine Learning / /

Technology

parallel processing system / four genetic algorithms / exhaustive search algorithms / polynomial time algorithm / genetic algorithm / 32 Genetic Algorithms Genetic algorithms / Machine Learning / each genetic algorithm / heuristic search algorithms / Solving Quadratic Assignment Problems With Parallel Genetic Algorithms / genetic algorithms / dom / recombination / Parallel processing / /

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