Optimization methods

 

 

Date

05/11/2007

Author

F. Moussouni, S. Brisset, P. Brochet

Affiliation

L2EP EC Lille France

Email

fouzia.moussouni@ec-lille.fr

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.

  

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