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Ant Colony Optimization.

By: Contributor(s): Material type: TextTextSeries: A Bradford Book SeriesPublisher: Cambridge : MIT Press, 2004Copyright date: ©2004Edition: 1st edDescription: 1 online resource (320 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780262256032
Subject(s): Genre/Form: Additional physical formats: Print version:: Ant Colony OptimizationDDC classification:
  • 519.6
LOC classification:
  • QA402.5.D64 2004
Online resources:
Contents:
Intro -- Contents -- Preface -- Acknowledgments -- 1 - From Real to Arti cial Ants -- 2 - The Ant Colony Optimization Metaheuristic -- 3 - Ant Colony Optimization Algorithms for the Traveling Salesman Problem -- 4 - Ant Colony Optimization Theory -- 5 - Ant Colony Optimization for NP-Hard Problems -- 6 - AntNet: An ACO Algorithm for Data Network Routing -- 7 - Conclusions and Prospects for the Future -- Appendix: Sources of Information about the ACO Field -- References -- Index.
Summary: An overview of the rapidly growing field of ant colony optimization that describes theoretical findings, the major algorithms, and current applications.
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Intro -- Contents -- Preface -- Acknowledgments -- 1 - From Real to Arti cial Ants -- 2 - The Ant Colony Optimization Metaheuristic -- 3 - Ant Colony Optimization Algorithms for the Traveling Salesman Problem -- 4 - Ant Colony Optimization Theory -- 5 - Ant Colony Optimization for NP-Hard Problems -- 6 - AntNet: An ACO Algorithm for Data Network Routing -- 7 - Conclusions and Prospects for the Future -- Appendix: Sources of Information about the ACO Field -- References -- Index.

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

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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