International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 49 - Number 17 |
Year of Publication: 2012 |
Authors: R. Geetha, G. Umarani Srikanth |
10.5120/7720-1091 |
R. Geetha, G. Umarani Srikanth . Ant Colony Optimization in Different Engineering Applications: An Overview. International Journal of Computer Applications. 49, 17 ( July 2012), 19-25. DOI=10.5120/7720-1091
Ant Colony Optimization (ACO) is a technique that was introduced in the early 1990's and it is inspired by the foraging behavior of ant colonies. ACO algorithms have long been thought as generating high quality solutions for various problems in different Engineering Applications. This survey provides an overview of past and on-going research of ACO in diverse engineering applications pertaining to computer science fields such as mobile and wireless networks, sensor networks, grid computing, P2P Computing, Pervasive computing, Data mining, Software engineering, Database systems, Multicore Processing, Artificial intelligence, Image processing, Biomedical applications and also other domains relevant to Electronics and Electrical Engineering fields. We finally summarize the comprehensive study of applications in all these fields deployed ACO.