Volume 4, Issue 4, June 2011, Pages 566 - 582
Survey on Recent Research and Implementation of Ant Colony Optimization in Various Engineering Applications
Chandra Mohan B., Baskaran R.
Chandra Mohan B.
Received 7 September 2010, Accepted 7 February 2011, Available Online 1 June 2011.
- 10.2991/ijcis.2011.4.4.14How to use a DOI?
- Swarm Intelligence, Ant colony optimization, Soft-computing, Engineering Applications
Ant colony optimization (ACO) takes inspiration from the foraging behaviour of real ant species. This ACO exploits a similar mechanism for solving optimization problems for the various engineering field of study. Many successful implementations using ACO are now available in many applications. This paper reviewing varies systematic approach on recent research and implementation of ACO. Finally it presents the experimental result of ACO which is applied for routing problem and compared with existing algorithms.
- © 2011, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Chandra Mohan B. AU - Baskaran R. PY - 2011 DA - 2011/06/01 TI - Survey on Recent Research and Implementation of Ant Colony Optimization in Various Engineering Applications JO - International Journal of Computational Intelligence Systems SP - 566 EP - 582 VL - 4 IS - 4 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2011.4.4.14 DO - 10.2991/ijcis.2011.4.4.14 ID - B.2011 ER -