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Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms

de Chi-Keong Goh
État : Neuf
120,92 €
TVA incluse - Livraison GRATUITE
Chi-Keong Goh Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms
Chi-Keong Goh - Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms

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Livraison : entre 2021-04-29 et 2021-05-03
Vente et expédition: Dodax EU

La description

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.

Contributeurs

Écrivain:
Chi-Keong Goh
Kay Chen Tan

Détails du produit

Commentaire illustrations:
36 Tabellen
Remarks:

Presents recent results in Evolutionary Multi-objective Optimization in Uncertain Environments

Type de média:
Buch gebunden
Éditeur:
Springer Berlin
Langues:
Englisch
Nombre de pages:
271
Sommaire:

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. The book is intended for a wide readership.


Données de base

Type d'produit:
Hardback book
Date de publication:
6 mars 2009
Dimensions du colis:
0.236 x 0.162 x 0.026 m; 0.558 kg
GTIN:
09783540959755
DUIN:
UQVPU4JOVNO
MPN:
36 black & white tables
120,92 €
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