Open access peer-reviewed Edited Volume

Ant Colony Optimization

Methods and Applications

Ants communicate information by leaving pheromone tracks. A moving ant leaves, in varying quantities, some pheromone on the ground to mark its way. While an isolated ant moves essentially at random, an ant encountering a previously laid trail is able to detect it and decide with high probability to follow it, thus reinforcing the track with its own pheromone. The collective behavior that emerges is thus a positive feedback: where the more the ants following a track, the more attractive that track becomes for being followed; thus the probability with which an ant chooses a path increases with the number of ants that previously chose the same path. This elementary ant's behavior inspired the development of ant colony optimization by Marco Dorigo in 1992, constructing a meta-heuristic stochastic combinatorial computational methodology belonging to a family of related meta-heuristic methods such as simulated annealing, Tabu search and genetic algorithms. This book covers in twenty chapters state of the art methods and applications of utilizing ant colony optimization algorithms. New methods and theory such as multi colony ant algorithm based upon a new pheromone arithmetic crossover and a repulsive operator, new findings on ant colony convergence, and a diversity of engineering and science applications from transportation, water resources, electrical and computer science disciplines are presented.

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Ant Colony OptimizationMethods and ApplicationsEdited by Avi Ostfeld

Published: February 4th 2011

DOI: 10.5772/577

ISBN: 978-953-307-157-2

eBook (PDF) ISBN: 978-953-51-5980-3

Copyright year: 2011

Books open for chapter submissions

51541 Total Chapter Downloads

36 Crossref Citations

50 Web of Science Citations

60 Dimensions Citations


Open access peer-reviewed

1. Multi-Colony Ant Algorithm

By Enxiu Chen and Xiyu Liu


Open access peer-reviewed

2. Continuous Dynamic Optimization

By Walid Tfaili


Open access peer-reviewed

3. An AND-OR Fuzzy Neural Network

By Jianghua Sui


Open access peer-reviewed

4. Some Issues of ACO Algorithm Convergence

By Lorenzo Carvelli and Giovanni Sebastiani


Open access peer-reviewed

5. Ant Colony Algorithms for Multiobjective Optimization

By Jaqueline S. Angelo and Helio J.C. Barbosa


Open access peer-reviewed

6. Automatic Construction of Programs Using Dynamic Ant Programming

By Shinichi Shirakawa, Shintaro Ogino, and Tomoharu Nagao


Open access peer-reviewed

7. A Hybrid ACO-GA on Sports Competition Scheduling

By Huang Guangdong and Wang Qun


Open access peer-reviewed

8. Adaptive Sensor-Network Topology Estimating Algorithm Based on the Ant Colony Optimization

By Satoshi Kuriharam, Hiroshi Tamaki, Kenichi Fukui and Masayuki Numao


Open access peer-reviewed

9. Ant Colony Optimization in Green Manufacturing

By Cong Lu


Open access peer-reviewed

10. Optimizing Laminated Composites Using Ant Colony Algorithms

By Mahdi Abachizadeh and Masoud Tahani


Open access peer-reviewed

11. Ant Colony Optimization for Water Resources Systems Analysis – Review and Challenges

By Avi Ostfeld


Open access peer-reviewed

12. Application of Continuous ACOR to Neural Network Training: Direction of Arrival Problem

By Hamed Movahedipour


Open access peer-reviewed

13. Ant Colony Optimization for Coherent Synthesis of Computer System

By Mieczyslaw Drabowski


Open access peer-reviewed

14. Ant Colony Optimization Approach for Optimizing Traffic Signal Timings

By Ozgur Baskan and Soner Haldenbilen


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15. Forest Transportation Planning Under Multiple Goals Using Ant Colony Optimization

By Woodam Chung and Marco Contreras


Open access peer-reviewed

16. Ant Colony System-Based Applications to Electrical Distribution System Optimization

By Gianfranco Chicco


Open access peer-reviewed

17. Ant Colony Optimization for Image Segmentation

By Yuanjing Feng and Zhejin Wang


Open access peer-reviewed

18. SoC Test Applications Using ACO metaheuristic

By Hong-Sik Kim, Jin-Ho An and Sungho Kang


Open access peer-reviewed

19. Ant Colony Optimization For Multiobjective Buffers Sizing Problems

By Hicham Chehade, Lionel Amodeo and Farouk Yalaoui


Open access peer-reviewed

20. On the Use of ACO Algorithm for Electromagnetic Designs

By Eva Rajo-Iglesias, Óscar Quevedo-Teruel and Luis Inclán-Sánchez


Edited Volume and chapters are indexed in

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

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