Evolutionary Multi-objective Optimization in Uncertain Environments

Name: Evolutionary Multi-objective Optimization in Uncertain Environments
Brand: Springer, Berlin
SKU: 9783540959755
Price: 106.08 EUR
Availability: InStock

Issues and Algorithms

Autor: Chi-Keong Goh, Kay C. Tan

Jazyk:

Väzba: Pevná

Vydavateľ: Springer, Berlin

Dostupnosť: Skladom u dodávateľa v malom množstve

Odosielame za 13-18 dní

106.08 €

Evolutionary algorithms are sophisticated search methods that have been found to be very efficient a...

Informácie o knihe

Autor

Chi-Keong Goh, Kay C. Tan

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2009

Stránok

271

EAN

9783540959755

ISBN

3540959750

Enbook ID

01571313

Vydavateľ

Springer, Berlin

Hmotnosť

582

Rozmery

161 x 243 x 17

Kompletný popis

Evolutionary algorithms are sophisticated 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. Despite the tremendous amount of work done in the development of these algorithms in the past decade, many researchers assume that the optimization problems are deterministic and uncertainties are rarely examined. §§The primary motivation of this book is to provide a comprehensive introduction on the design and application of evolutionary algorithms for multi-objective optimization in the presence of uncertainties. In this book, we hope to expose the readers to a range of optimization issues and concepts, and to encourage a greater degree of appreciation of evolutionary computation techniques and the exploration of new ideas that can better handle uncertainties. "Evolutionary Multi-Objective Optimization in Uncertain Environments: Issues and Algorithms" is intended for a wide readership and will be a valuable reference for engineers, researchers, senior undergraduates and graduate students who are interested in the areas of evolutionary multi-objective optimization and uncertainties.

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Evolutionary Multi-objective Optimization in Uncertain Environments

Issues and Algorithms

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