Ant Colony Optimization

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Item specifics

Condition
Like New: A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is ...
Release Year
2004
Book Title
Ant Colony Optimization
ISBN
9780262042192
Category

About this product

Product Identifiers

Publisher
MIT Press
ISBN-10
0262042193
ISBN-13
9780262042192
eBay Product ID (ePID)
6035648

Product Key Features

Number of Pages
319 Pages
Publication Name
Ant Colony Optimization
Language
English
Publication Year
2004
Subject
Animals / Insects & Spiders, Computer Science, Statistics, Optimization, Robotics
Type
Textbook
Author
Marco Dorigo, Thomas Stutzle
Subject Area
Mathematics, Nature, Computers, Technology & Engineering, Psychology
Format
Hardcover

Dimensions

Item Height
0.8 in
Item Weight
22.9 Oz
Item Length
9.3 in
Item Width
7.2 in

Additional Product Features

Intended Audience
Trade
LCCN
2003-066629
Dewey Edition
22
Reviews
"Marco Dorigo and Thomas Stutzle impressively demonstrate that the importance of ant behavior reaches far beyond the sociobiological domain. Ant Colony Optimizationpresents the most successful algorithmic techniques to be developed on the basis on ant behavior. This book will certainly open the gates for new experimental work on decision making, division of labor, and communication; moreover, it will also inspire all those studying patterns of self-organization." -Bert Holldobler, Professor of Behavioral Physiology and Sociobiology, Biozentrum, University of Wurzburg, Germany
Grade From
College Graduate Student
Illustrated
Yes
Dewey Decimal
519.6
Synopsis
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., An overview of the rapidly growing field of Ant Colony Optimization that describes theoretical findings, the major algorithms, and current applications.
LC Classification Number
QA402.5.D64 2004

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