Ebook: Multiobjective Optimization: Principles and Case Studies
- Tags: Optimization, Control Robotics Mechatronics, Operation Research/Decision Theory
- Series: Decision Engineering
- Year: 2004
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages I-12
Front Matter....Pages 13-13
Introduction: multiobjective optimization and domination....Pages 15-43
Scalar methods....Pages 45-75
Interactive methods....Pages 77-98
Fuzzy methods....Pages 99-107
Multiobjective methods using metaheuristics....Pages 109-134
Decision aid methods....Pages 135-173
Front Matter....Pages 175-175
Performance measurement....Pages 177-196
Test functions for multiobjective optimization methods....Pages 197-211
An attempt to classify multiobjective optimization methods....Pages 213-225
Front Matter....Pages 227-227
Case study 1: qualification of scientific software....Pages 229-235
Case study 2: study of the extension of a telecommunication network....Pages 237-250
Case study 3: multicriteria decision tools to deal with bids....Pages 251-267
Conclusion....Pages 269-270
Back Matter....Pages 271-293
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.
Content:
Front Matter....Pages I-12
Front Matter....Pages 13-13
Introduction: multiobjective optimization and domination....Pages 15-43
Scalar methods....Pages 45-75
Interactive methods....Pages 77-98
Fuzzy methods....Pages 99-107
Multiobjective methods using metaheuristics....Pages 109-134
Decision aid methods....Pages 135-173
Front Matter....Pages 175-175
Performance measurement....Pages 177-196
Test functions for multiobjective optimization methods....Pages 197-211
An attempt to classify multiobjective optimization methods....Pages 213-225
Front Matter....Pages 227-227
Case study 1: qualification of scientific software....Pages 229-235
Case study 2: study of the extension of a telecommunication network....Pages 237-250
Case study 3: multicriteria decision tools to deal with bids....Pages 251-267
Conclusion....Pages 269-270
Back Matter....Pages 271-293
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