Open access peer-reviewed Edited Volume

Ant Colony Optimization

Techniques and Applications

Ant Colony Optimization (ACO) is the best example of how studies aimed at understanding and modeling the behavior of ants and other social insects can provide inspiration for the development of computational algorithms for the solution of difficult mathematical problems. Introduced by Marco Dorigo in his PhD thesis (1992) and initially applied to the travelling salesman problem, the ACO field has experienced a tremendous growth, standing today as an important nature-inspired stochastic metaheuristic for hard optimization problems. This book presents state-of-the-art ACO methods and is divided into two parts: (I) Techniques, which includes parallel implementations, and (II) Applications, where recent contributions of ACO to diverse fields, such as traffic congestion and control, structural optimization, manufacturing, and genomics are presented.

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Ant Colony OptimizationTechniques and ApplicationsEdited by Helio Barbosa

Published: February 20th 2013

DOI: 10.5772/3423

ISBN: 978-953-51-1001-9

eBook (PDF) ISBN: 978-953-51-5717-5

Copyright year: 2013

Books open for chapter submissions

21667 Total Chapter Downloads

13 Crossref Citations

23 Web of Science Citations

21 Dimensions Citations


Open access peer-reviewed

1. Ant Colony Optimization Toward Feature Selection

By Monirul Kabir, Md Shahjahan and Kazuyuki Murase


Open access peer-reviewed

2. Parallel Ant Colony Optimization: Algorithmic Models and Hardware Implementations

By Pierre Delisle


Open access peer-reviewed

3. Strategies for Parallel Ant Colony Optimization on Graphics Processing Units

By Jaqueline S. Angelo, Douglas A. Augusto and Helio J. C. Barbosa


Open access peer-reviewed

4. An Ant Colony Optimization Algorithm for Area Traffic Control

By Soner Haldenbilen, Ozgur Baskan and Cenk Ozan


Open access peer-reviewed

5. ANGEL: A Simplified Hybrid Metaheuristic for Structural Optimization

By Anikó Csébfalvi


Open access peer-reviewed

6. Scheduling in Manufacturing Systems – Ant Colony Approach

By Mieczyslaw Drabowski and Edward Wantuch


Open access peer-reviewed

7. Traffic-Congestion Forecasting Algorithm Based on Pheromone Communication Model

By Satoshi Kurihara


Open access peer-reviewed

8. Ant Colony Algorithm with Applications in the Field of Genomics

By R. Rekaya, K. Robbins, M. Spangler, S. Smith, E. H. Hay and K. Bertrand


Edited Volume and chapters are indexed in

  • Worldcat
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  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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