 |
 |
Multiobjective Optimization Principles and Case Studies Yann Collette & Patrick Siarry SPRINGER ISBN 3-540-40182-2. June 2004. Series: Decision Engineering 1st ed. 2003. Corr 2nd printing, 2004, X 293 p., 153 illus. Hardcover Recommended Retail Price: EUR 69.95 http://www.springer.de/cgi/svcat/search_book.pl?isbn=3-540-40182-2 From whatever domain they come, engineers are faced daily with optimization problems that require conflicting objectives to be met. This monograph systematically presents several multiobjective optimization methods accompanied by many analytical examples. Each method or definition is clarified, when possible, by an illustration. Multiobjective Optimization treats not only engineering problems, e.g in mechanics, but also problems arising in operations research and management. It explains how to choose the most suitable method to solve a given problem and uses three primary application examples: optimization of the numerical simulation of an industrial process; sizing of a telecommunication network; and decision-aid tools for the sorting of bids. This book is intended for engineering students, and those in applied mathematics, algorithmics, economics (operational research), production management, and computer scientists. Keywords: Multicriteria, Multiobjective, Metaheuristics, Pareto domination, Decision aid Contents: Introduction: Multiobjective Optimization and Domination.- Scalar Methods.- Interactive Methods.- Fuzzy Methods.- Methods which use a Metaheuristic.- Decision Aid Methods.- Performances Measurement.- Test Functions of Multiobjective Optimization Methods.- Attempt to Classify Multiobjective Optimization Methods.- Case Study No.1: Qualification of Scientific Software.- Case Study No.2: Study of the Extension of a Telecommunication Network.- Case Study No.3: Multicriteria Decision Tools to Deal with Bids.- Conclusion.- References.- Index.