Overview
- Completely rewritten second edition
- Self contained, comprehensive and up-to-date presentation of theory and practice of uncertain programming
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 239)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Real-life decisions are usually made in the state of uncertainty such as randomness and fuzziness. How do we model optimization problems in uncertain environments? How do we solve these models? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in system reliability design, project scheduling problem, vehicle routing problem, facility location problem, and machine scheduling problem. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.
Authors and Affiliations
Bibliographic Information
Book Title: Theory and Practice of Uncertain Programming
Authors: Baoding Liu
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-89484-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-540-89483-4Published: 18 March 2009
Softcover ISBN: 978-3-642-10043-7Published: 21 October 2010
eBook ISBN: 978-3-540-89484-1Published: 28 December 2008
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 2
Number of Pages: XI, 202
Topics: Mathematical and Computational Engineering, Software Engineering, Optimization, Operations Research, Management Science, Probability Theory and Stochastic Processes