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Modern Heuristic Search Methods

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ISBN-10: 0471962805

ISBN-13: 9780471962809

Edition: 1996

Authors: V. J. Rayward-Smith, I. H. Osman, G. D. Smith, C. R. Reeves

List price: $258.00
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Including contributions from leading experts in the field, this book covers applications and developments of heuristic search methods for solving complex optimization problems. The book covers various local search strategies including genetic algorithms, simulated annealing, tabu search and hybrids thereof. These methods have proved extraordinarily successful by solving some of the most difficult, real-world problems. At the interface between Artificial Intelligence and Operational Research, research in this exciting area is progressing apace spurred on by the needs of industry and commerce. The introductory chapter provides a clear overview of the basic techniques and useful pointers to further reading and to current research. The second section of the book covers some of the most recent and exciting developments of the basic techniques, with suggestions not only for extending and improving these but also for hybridizing and incorporating automatic adaption. The third section contains a number of case studies, surveys and comparative studies which span a wide range of application areas ranging from the classic Steiner tree problem to more practical problems arising in telecommunications and data analysis. The coverage of the latest research and the illustrative case studies will ensure that the book is invaluable for researchers and professionals with an interest in heuristic search methods.
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Book details

List price: $258.00
Copyright year: 1996
Publisher: John Wiley & Sons, Incorporated
Publication date: 12/23/1996
Binding: Hardcover
Pages: 314
Size: 7.00" wide x 10.00" long x 1.00" tall
Weight: 1.584
Language: English

Modern Heuristic Techniques
Localized Simulated Annealing in Constraint Satisfaction and Optimization
Observing Logical Interdependencies in Tabu Search: Methods and Results
Reactive Search: Toward Self-Tuning Heuristics
Integrating Local Search into Genetic Algorithms
Case Studies
Local Search for Steiner Trees in Graphs
Local Search Strategies for the Vehicle Fleet Mix Problem
A Tabu Search Algorithm for Some Discrete-Continuous Scheduling Problems
The Analysis of Waste Flow Data from Multi-Unit Industrial Complexes Using Genetic Algorithms
The Evolution of Solid Object Designs Using Genetic Algorithms
The Convoy Movement Problem with Initial Delays
A Brief Comparison of Some Evolutionary Optimization Methods