Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 638)
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Table of contents (11 papers)
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Front Matter
About this book
This volume shows the state-of-the-art in both theoretical development and application of multiple objective and goal programming. Applications from the fields of supply chain management, financial portfolio selection, financial risk management, insurance, medical imaging, sustainability, nurse scheduling, project management, water resource management, and the interface with data envelopment analysis give a good reflection of current usage. A pleasing variety of techniques are used including models with fuzzy, group-decision, stochastic, interactive, and binary aspects. Additionally, two papers from the upcoming area of multi-objective evolutionary algorithms are included.
The book is based on the papers of the 8th International Conference on Multi-Objective and Goal Programming (MOPGP08) which was held in Portsmouth, UK, in September 2008.
Editors and Affiliations
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University of Portsmouth, Portsmouth, United Kingdom
Dylan Jones
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College of Business & Administration, Kuwait University, Safat, Kuwait
Mehrdad Tamiz
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Dept. Mathematics, University of Portsmouth, Portsmouth, United Kingdom
Jana Ries
Bibliographic Information
Book Title: New Developments in Multiple Objective and Goal Programming
Editors: Dylan Jones, Mehrdad Tamiz, Jana Ries
Series Title: Lecture Notes in Economics and Mathematical Systems
DOI: https://doi.org/10.1007/978-3-642-10354-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Softcover ISBN: 978-3-642-10353-7Published: 25 March 2010
eBook ISBN: 978-3-642-10354-4Published: 17 March 2010
Series ISSN: 0075-8442
Series E-ISSN: 2196-9957
Edition Number: 1
Number of Pages: X, 163
Number of Illustrations: 23 b/w illustrations
Topics: Computational Mathematics and Numerical Analysis, Mathematical Modeling and Industrial Mathematics, Operations Research, Management Science, Operations Research/Decision Theory, Optimization, Operations Management