Ant Colony Optimization

By: Marco Dorigo, Thomas Stutzle

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Hardcover | 4 June 2004

At a Glance

Hardcover
319 Pages

Age
18+

Dimensions(cm)
0.1 x 0.1 x 0.1

Hardcover

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An overview of the rapidly growing field of ant colony optimization that describes theoretical findings, the major algorithms, and current applications.

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.

Industry Reviews

"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

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You Can Find This Book In

Non-Fiction Mathematics Probability & Statistics Computing & I.T.Computer Science Artificial Intelligence Reference, Information & Interdisciplinary Subjects Research & Information Information theory Cybernetics & Systems Theory Engineering & Technology Electronics & Communications Engineering

Electronics Engineering Automatic Control Engineering Robotics

Preface	p. ix
Acknowledgments	p. xiii
From Real to Artificial Ants	p. 1
The Ant Colony Optimization Metaheuristic	p. 25
Ant Colony Optimization Algorithms for the Traveling Salesman Problem	p. 65
Ant Colony Optimization Theory	p. 121
Ant Colony Optimization for NP-Hard Problems	p. 153
AntNet: An ACO Algorithm for Data Network Routing	p. 223
Conclusions and Prospects for the Future	p. 261
Appendix: Sources of Information about the ACO Field	p. 275
References	p. 277
Index	p. 301
Table of Contents provided by Publisher. All Rights Reserved.

Ant Colony Optimization

At a Glance

Hardcover

Industry Reviews

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How to return your order

Defective items

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