Modern Heuristic Search Methods

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  • Format: eBook
  • Copyright: 2000-11-01
  • Publisher: WILEY
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Modern heuristic methods include techniques such as evolutionary algorithms, genetic algorithms, simulated annealing, tabu search, adaptive agents, and their various hybrids. There has been an increase in the exploration and exploitation of these methods in a wide range of fields such as management decision making, strategic planning, finance, telecommunications, scheduling, and packing. As a result these techniques can give a company considerable advantage. The book includes chapters from a number of international experts and presents some of the latest techniques and illustrative case studies. The initial chapter gives an introductory overview of the methods involved, and all the chapters have been carefully refereed provide interesting insights into the development and application of the technology.

Table of Contents

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
Table of Contents provided by Publisher. All Rights Reserved.

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