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Ant Colony Optimization : A Bradford Book - Marco Dorigo

Ant Colony Optimization

A Bradford Book

Hardcover

Published: 4th June 2004
For Ages: 18+ years old
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The complex social behaviors of ants have been much studied by science, and computer scientists are now finding that these behavior patterns can provide models for solving difficult combinatorial optimization problems. The attempt to develop algorithms inspired by one aspect of ant behavior, the ability to find what computer scientists would call shortest paths, has become the field of ant colony optimization (ACO), the most successful and widely recognized algorithmic technique based on ant behavior. This book presents an overview of this rapidly growing field, from its theoretical inception to practical applications, including descriptions of many available ACO algorithms and their uses. The book first describes the translation of observed ant behavior into working optimization algorithms. The ant colony metaheuristic is then introduced and viewed in the general context of combinatorial optimization. This is followed by a detailed description and guide to all major ACO algorithms and a report on current theoretical findings. The book surveys ACO applications now in use, including routing, assignment, scheduling, subset, machine learning, and bioinformatics problems. AntNet, an ACO algorithm designed for the network routing problem, is described in detail. The authors conclude by summarizing the progress in the field and outlining future research directions. Each chapter ends with bibliographic material, bullet points setting out important ideas covered in the chapter, and exercises. "Ant Colony Optimization" will be of interest to academic and industry researchers, graduate students, and practitioners who wish to learn how to implement ACO algorithms.

"Inspired by the remarkable ability of social insects to solve problems, Dorigo and Stutzle introduce highly creative new technological design principles for seeking optimized solutions to extremely difficult real-world problems, such as network routing and task scheduling. This is essential reading not only for those working in artificial intelligence and optimization, but for all of us who find the interface between biology and technology fascinating."--Iain D. Couzin, University of Oxford

Prefacep. ix
Acknowledgmentsp. xiii
From Real to Artificial Antsp. 1
The Ant Colony Optimization Metaheuristicp. 25
Ant Colony Optimization Algorithms for the Traveling Salesman Problemp. 65
Ant Colony Optimization Theoryp. 121
Ant Colony Optimization for NP-Hard Problemsp. 153
AntNet: An ACO Algorithm for Data Network Routingp. 223
Conclusions and Prospects for the Futurep. 261
Appendix: Sources of Information about the ACO Fieldp. 275
Referencesp. 277
Indexp. 301
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9780262042192
ISBN-10: 0262042193
Series: A Bradford Book
Audience: Professional
For Ages: 18+ years old
Format: Hardcover
Language: English
Number Of Pages: 319
Published: 4th June 2004
Publisher: MIT Press Ltd
Country of Publication: US
Dimensions (cm): 23.7 x 17.8  x 2.0
Weight (kg): 0.65