Overview
- Collection of results of nonlinear, linear and combinatorial optimization problems
- Numerous illustrations, examples and homework problems make the book an ideal companion for multicriteria optimization courses
- Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Decision makers in many areas, from industry to engineering and the social sector, face an increasing need to consider multiple, conflicting objectives in their decision processes. In many cases these real world decision problems can be formulated as multicriteria mathematical optimization models. The solution of such models requires appropriate techniques to compute so called efficient, or Pareto optimal, or compromise solutions that - unlike traditional mathematical programming methods - take the contradictory nature of the criteria into account. This book provides the necessary mathematical foundation of multicriteria optimization to solve nonlinear, linear and combinatorial problems with multiple criteria. Motivational examples illustrate the use of multicriteria optimization in practice. Numerous illustrations and exercises as well as an extensive bibliography are provided.
In the new edition a chapter on optimality conditions has been added. The linear programming part has been extended and includes new developments. Moreover, motivational examples are now introducing the majority of chapters.
Authors and Affiliations
Bibliographic Information
Book Title: Multicriteria Optimization
Authors: Matthias Ehrgott
DOI: https://doi.org/10.1007/3-540-27659-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Hardcover ISBN: 978-3-540-21398-7Published: 18 May 2005
Softcover ISBN: 978-3-642-05975-9Published: 13 October 2010
eBook ISBN: 978-3-540-27659-3Published: 16 January 2006
Edition Number: 2
Number of Pages: XIII, 323
Additional Information: Originally published as volume 491 in the series: Lecture Notes in Economics and Mathematical Systems
Topics: Operations Research/Decision Theory, Optimization, Industrial and Production Engineering