A massively parallel architecture for distributed genetic algorithms

Genetic algorithms are a group of stochastic search algorithms with a broad field of application. Although highly successful in many fields, genetic algorithms in general suffer from long execution times. In this article we describe parallel models for genetic algorithms in general and the massively...

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Vydané v:	Parallel computing Ročník 30; číslo 5; s. 647 - 676
Hlavný autor:	Eklund, Sven E.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.05.2004
Predmet:	Classification Diffusion model FPGA Genetic programming Parallel architecture Regression Time series forecasting FPGA Genetic programming Classification Time series forecasting Regression Parallel architecture Diffusion model
ISSN:	0167-8191, 1872-7336
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