Includes bibliographical references (p. [293]-313) and index.

Part I. Principles of multiobjective optimization methods --- 1. Introduction: Multiobjective Optimization and Domination --- 2. Scalar Methods --- 3. Interactive Methods --- 4. Fuzzy Methods --- 5. Methods which use a Metaheuristic --- 6. Decision Aid Methods --- Part II. Evaluation of methods, and criteria for choice of method --- 7. Performances Measurement --- 8. Test Functions of Multiobjective Optimization Methods --- 9. An Attempt to Classify Multiobjective Optimization Methods --- Part III. Case studies --- 10. Case Study No.1: Qualification of Scientific Software --- 11. Case Study No.2: Study of the Extension of a Telecommunication Network --- 12. Case Study No.3: Multicriteria Decision Tools to Deal with Bids --- 13. Conclusion.

"From whatever domain they come, engineers are faced daily with optimization problems that requires 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." -- Book cover.