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

Books open for chapter submissions

16815 Total Chapter Downloads

6 Crossref Citations

7 Web of Science Citations

10 Dimensions Citations

chaptersDownloads

Open access peer-reviewed

1. Ant Colony Optimization Toward Feature Selection

By Monirul Kabir, Md Shahjahan and Kazuyuki Murase

2573

Open access peer-reviewed

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

By Pierre Delisle

2692

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

2687

Open access peer-reviewed

4. An Ant Colony Optimization Algorithm for Area Traffic Control

By Soner Haldenbilen, Ozgur Baskan and Cenk Ozan

2662

Open access peer-reviewed

5. ANGEL: A Simplified Hybrid Metaheuristic for Structural Optimization

By Anikó Csébfalvi

1310

Open access peer-reviewed

6. Scheduling in Manufacturing Systems – Ant Colony Approach

By Mieczyslaw Drabowski and Edward Wantuch

1382

Open access peer-reviewed

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

By Satoshi Kurihara

2140

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

1369

Edited volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI
  • IET Inspec

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