Editors:
- Examines facility location theory through game theoretical tools
- Focuses on situations where the location decision is faced by several decision makers
- Surveys models and methods regarding facility location using game theory
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 118)
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Table of contents (14 chapters)
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Front Matter
About this book
Facility location theory develops the idea of locating one or more facilities by optimizing suitable criteria such as minimizing transportation cost, or capturing the largest market share. The contributions in this book focus an approach to facility location theory through game theoretical tools highlighting situations where a location decision is faced by several decision makers and leading to a game theoretical framework in non-cooperative and cooperative methods. Models and methods regarding the facility location via game theory are explored and applications are illustrated through economics, engineering, and physics. Mathematicians, engineers, economists and computer scientists working in theory, applications and computational aspects of facility location problems using game theory will find this book useful.
Editors and Affiliations
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Department of Mathematics and Applications, University of Naples Federico II, Napoli, Italy
Lina Mallozzi
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Department of Industrial and Information Engineering, Second University of Naples, Aversa, Italy
Egidio D'Amato
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Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA
Panos M. Pardalos
Bibliographic Information
Book Title: Spatial Interaction Models
Book Subtitle: Facility Location Using Game Theory
Editors: Lina Mallozzi, Egidio D'Amato, Panos M. Pardalos
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-319-52654-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-52653-9Published: 13 April 2017
Softcover ISBN: 978-3-319-84954-6Published: 08 May 2018
eBook ISBN: 978-3-319-52654-6Published: 04 April 2017
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: X, 327
Number of Illustrations: 28 b/w illustrations, 14 illustrations in colour
Topics: Operations Research, Management Science, Game Theory, Economics, Social and Behav. Sciences, Discrete Optimization