Overview
- Presents variable ordering structures for the first time in book length format
- Includes applications in Economics and Health
- Provides algorithms for solving finite discrete as well as continuous vector optimization problems
- Includes supplementary material: sn.pub/extras
Part of the book series: Vector Optimization (VECTOROPT)
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About this book
This book provides an introduction to vector optimization with variable ordering structures, i.e., to optimization problems with a vector-valued objective function where the elements in the objective space are compared based on a variable ordering structure: instead of a partial ordering defined by a convex cone, we see a whole family of convex cones, one attached to each element of the objective space. The book starts by presenting several applications that have recently sparked new interest in these optimization problems, and goes on to discuss fundamentals and important results on a wide range of topics. The theory developed includes various optimality notions, linear and nonlinear scalarization functionals, optimality conditions of Fermat and Lagrange type, existence and duality results. The book closes with a collection of numerical approaches for solving these problems in practice.
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Keywords
Table of contents (10 chapters)
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Front Matter
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Back Matter
Reviews
“This book is the first comprehensive introduction to the particular topic of vector optimization with variable ordering structures. … The presentation of the book is very detailed and relatively easy for reading. … Graduate students and researchers will find this book useful as a standard reference on vector optimization with variable ordering structures.” (Phan Quốc Khánh, Mathematical Reviews, December, 2015)
Authors and Affiliations
About the author
Gabriele Eichfelder is Professor for mathematical methods of Operations Research at Technical University of Ilmenau, Germany.
Bibliographic Information
Book Title: Variable Ordering Structures in Vector Optimization
Authors: Gabriele Eichfelder
Series Title: Vector Optimization
DOI: https://doi.org/10.1007/978-3-642-54283-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Hardcover ISBN: 978-3-642-54282-4Published: 15 April 2014
Softcover ISBN: 978-3-662-52551-7Published: 03 September 2016
eBook ISBN: 978-3-642-54283-1Published: 04 April 2014
Series ISSN: 1867-8971
Series E-ISSN: 1867-898X
Edition Number: 1
Number of Pages: XIII, 190
Number of Illustrations: 41 b/w illustrations
Topics: Optimization, Operations Research/Decision Theory, Applications of Mathematics, Continuous Optimization