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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

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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…    
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Book details

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