[PDF.49el] Massively Parallel Evolutionary Computation on GPGPUs (Natural Computing Series)

Massively Parallel Evolutionary Computation on GPGPUs (Natural Computing Series)

[PDF.oo58] Massively Parallel Evolutionary Computation on GPGPUs (Natural Computing Series)

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 | #3712879 in Books |  2013-12-06 | Original language:English | PDF # 1 |  9.21 x1.00 x6.14l,.0 | File type: PDF | 453 pages

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||From the Back Cover||Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acc

Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have been many attempts to develop platforms for running parallel EAs using multicore machines, massively parallel cluster machines,...

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