Overview
- Presents the principles of multiobjective or multicriteria optimization
- Describes ist main methods
- Evaluates the efficiency of different methods and considers the choice of an algorithm for a given problem
- The methods are illustrated by case studies from different fields of engineering
- Addresses students, researchers and experts in mathematics, engineering, and economics
Part of the book series: Decision Engineering (DECENGIN)
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Table of contents (13 chapters)
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Front Matter
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Principles of multiobjective optimization methods
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Front Matter
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Evaluation of methods, and criteria for choice of method
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Front Matter
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Back Matter
Keywords
About this book
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.
Reviews
From the reviews:
"Multiobjective optimization allows a degree of freedom, which is lacking in mono-objective optimization. … The book is accessible to the novice and expert … and can be used by students, engineers and scientists working in aerospace, automotive, and mechanical and civil engineering." (Stefan Jendo, Zentralblatt MATH, Vol. 1103 (5), 2007)
Authors and Affiliations
Bibliographic Information
Book Title: Multiobjective Optimization
Book Subtitle: Principles and Case Studies
Authors: Yann Collette, Patrick Siarry
Series Title: Decision Engineering
DOI: https://doi.org/10.1007/978-3-662-08883-8
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Hardcover ISBN: 978-3-540-40182-7Published: 08 August 2003
Softcover ISBN: 978-3-642-07283-3Published: 17 September 2011
eBook ISBN: 978-3-662-08883-8Published: 29 June 2013
Series ISSN: 1619-5736
Series E-ISSN: 2197-6589
Edition Number: 1
Number of Pages: IX, 293
Additional Information: Original french edition published by Groupe Eyrolles, 2002
Topics: Mathematical Modeling and Industrial Mathematics, Operations Research/Decision Theory, Operations Research, Management Science, Optimization, Control, Robotics, Mechatronics