Multi-Objective Optimization in Computational Intelligence: Theory and Practice

by Lam Thu Bui, Sameer Alam

Overview

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.

Product Details

ISBN-13:	9781599044989
Publisher:	IGI Global
Publication date:	05/31/2008
Series:	Premier Reference Source Series
Pages:	496
Product dimensions:	8.70(w) x 11.20(h) x 1.40(d)