Multi-Objective Optimization in Computational Intelligence: Theory and Practice (Premier Reference Source)

Authors:
Lam Thu Bui;Sameer Alam;Lam Thu Bui;Sameer Alam
Affiliations:
-;-;-;-
Venue:
Multi-Objective Optimization in Computational Intelligence: Theory and Practice (Premier Reference Source)
Year:
2008

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Abstract

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.