Multi-objective Optimization in Computational Intelligence - Theory and Practice (Hardcover)

Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. ""Multi-Objective Optimization in Computational Intelligence: Theory and Practice"" explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.

General

Imprint:	Information Science Reference
Country of origin:	United States
Release date:	May 2008
First published:	May 2008
Editors:	Lam Thu Bui • Sameer Alam
Dimensions:	280 x 216 x 26mm (L x W x T)
Format:	Hardcover
Pages:	350
ISBN-13:	978-1-59904-498-9
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	1-59904-498-6
Barcode:	9781599044989

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