Kniha Evolutionary Multi-objective Optimization in Uncertain Environments Chi-Keong Goh

Evolutionary Multi-objective Optimization in Uncertain Environments

Issues and Algorithms

Jazyk: Angličtina
Vazba: Pevná
Vydavatel: Springer, Berlin
Dostupnost: Skladem u dodavatele v malém množství
Odesíláme za 13-18 dnů
2 567
Evolutionary algorithms are sophisticated search methods that have been found to be very efficient a...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2009
Stránek
271
EAN
9783540959755
ISBN
3540959750
Enbook ID
01571313
Vydavatel
Hmotnost
582
Rozměry
161 x 243 x 17

Kompletní 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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