Editors:
- Surveys some of the most recent solution approaches involving genetic algorithms, simulated annealing, tabu search, evolutionary computation, greedy randomized adaptive search procedures (GRASP), scatter search, ant system, variable neighborhood search, guided local search, iterated local search, noising methods, threshold accepting, memetic algorithms, neural networks, and other hybrid and/or variant approaches for solving hard combinatorial problems
Part of the book series: Operations Research/Computer Science Interfaces Series (ORCS, volume 32)
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Table of contents (18 chapters)
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Front Matter
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Invited Paper
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Tutorial Paper
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Papers on Problem Solving
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Papers on Methodologies
About this book
Metaheuristics: Progress as Real Problem Solvers is a peer-reviewed volume of eighteen current, cutting-edge papers by leading researchers in the field. Included are an invited paper by F. Glover and G. Kochenberger, which discusses the concept of Metaheuristic agent processes, and a tutorial paper by M.G.C. Resende and C.C. Ribeiro discussing GRASP with path-relinking. Other papers discuss problem-solving approaches to timetabling, automated planograms, elevators, space allocation, shift design, cutting stock, flexible shop scheduling, colorectal cancer and cartography. A final group of methodology papers clarify various aspects of Metaheuristics from the computational view point.
Editors and Affiliations
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Kyoto University, Japan
Toshihide Ibaraki, Koji Nonobe, Mutsunori Yagiura
Bibliographic Information
Book Title: Metaheuristics:
Book Subtitle: Progress as Real Problem Solvers
Editors: Toshihide Ibaraki, Koji Nonobe, Mutsunori Yagiura
Series Title: Operations Research/Computer Science Interfaces Series
DOI: https://doi.org/10.1007/b107306
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2005
Hardcover ISBN: 978-0-387-25382-4Published: 06 May 2005
Softcover ISBN: 978-1-4419-3790-2Published: 08 December 2010
eBook ISBN: 978-0-387-25383-1Published: 30 March 2006
Series ISSN: 1387-666X
Series E-ISSN: 2698-5489
Edition Number: 1
Number of Pages: XII, 414
Number of Illustrations: 106 b/w illustrations
Topics: Optimization, Operations Research/Decision Theory, Operations Research, Management Science, Artificial Intelligence, Theory of Computation, Mathematical Modeling and Industrial Mathematics