Optimization methods
|
Date |
05/11/2007
|
|
Author |
F. Moussouni, S. Brisset, P. Brochet
|
|
Affiliation
|
L2EP
– EC Lille – France |
|
Email |
|
|
Method |
Ant Colony Optimization |
|
References |
[1] F. Moussouni, S. Brisset, P. Brochet, « Comparison of two multi-agent algorithms: ACO and PSO», ISEF 2007- 13th International Symposium on Electromagnetic Fields In Mechatronics, Electrical and Electronic Engineering, Prague, Czech Republic, September 13-15, 2007. |
|
Description
of the method |
ACO was proposed by Dorigo et al. in 1990. It is inspired by the collaborative behavior of certain insects, specially the ants. ACO is considered as a global optimization method. In particular, this algorithms manage very well combinatorial and mixed problems. Unlike gradient search methods, ACO is less susceptible to be trapped in local optima. |