Overview
- Presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems
- Includes supplementary material: sn.pub/extras
Part of the book series: Decision Engineering (DECENGIN)
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Table of contents (9 chapters)
Keywords
About this book
Network models are critical tools in business, management, science and industry. “Network Models and Optimization” presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing. The book extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, traveling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems. The book can be used both as a student textbook and as a professional reference for practitioners who use network optimization methods to model and solve problems.
Authors and Affiliations
About the authors
Professor Mitsuo Gen is currently a professor of the Graduate School of Information, Production and Systems at Waseda University. He previously worked as a lecturer and professor at Ashikaga Institute of Technology. His research interests include genetic and evolutionary computation; fuzzy logic and neural networks; supply chain network design; optimization for information networks; and advanced planning and scheduling (APS).
Runwei Cheng is a Doctor of Engineering and currently works for JANA Solutions, Inc.
Lin Lin is currently a PhD candidate and research assistant at Waseda University, where he gained his MSc from the Graduate School of Information, Production and Systems. His research interests include hybrid genetic algorthims; neural networks; engineering optimization; multiobjective optimization; applications of evolutionary techniques; production and logistics; communication networks; image processing and pattern recognition; and parallel and distributed systems.
Bibliographic Information
Book Title: Network Models and Optimization
Book Subtitle: Multiobjective Genetic Algorithm Approach
Authors: Mitsuo Gen, Runwei Cheng, Lin Lin
Series Title: Decision Engineering
DOI: https://doi.org/10.1007/978-1-84800-181-7
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2008
Hardcover ISBN: 978-1-84800-180-0Published: 31 July 2008
Softcover ISBN: 978-1-84996-746-4Published: 22 October 2010
eBook ISBN: 978-1-84800-181-7Published: 10 July 2008
Series ISSN: 1619-5736
Series E-ISSN: 2197-6589
Edition Number: 1
Number of Pages: XIV, 692
Topics: Engineering Economics, Organization, Logistics, Marketing, Combinatorics, Operations Research/Decision Theory, Algorithm Analysis and Problem Complexity