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Evolutionary Multi-Objective Optimization In Uncertain Environments eBook

Issues And Algorithms

by Kay Chen Tan e Chi-Keong Goh
language: english
Publisher: Springer Berlin Heidelberg, February of 2009 ‧
118,59€
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Evolutionary algorithms are search methods that have been found to be very efficient and effective in solving complex real-world multi-objective problems where conventional optimization tools fail to work well. This book describes design and application of evolutionary algorithms for multi-objective optimization in the presence of uncertainties.

Evolutionary Multi-Objective Optimization In Uncertain Environments

Issues And Algorithms

by Kay Chen Tan e Chi-Keong Goh

Property Description
ISBN: 9783540959762
Publisher: Springer Berlin Heidelberg
Release Date: February of 2009
Language: English
Format: eBook
File Format and Compatibility: PDF para ADE
Collection: Studies In Computational Intelligence
Categories: eBooks in English > Science > Mathematics
EAN: 9783540959762

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