Modern Heuristic Search Methods
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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…
Copyright year: 1996
Publisher: John Wiley & Sons, Incorporated
Publication date: 12/23/1996
Size: 7.00" wide x 10.00" long x 1.00" tall
|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|
|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|