This work of thesis comes from an intuition shared by a small number still of researchers: the Ant Colony solving of many problems in a very effective way in their environment, it must be possible to transpose many number of these mechanisms for the resolution of data-processing problems.

This work of thesis has several aims, we try to bring many number of work inspired closer to the Ant Colony and Particle Swarm Optimization for combinative optimisation of progressive algorithms classes , this algorithms based on the frequency of appearance of genes.

These developments make it possible to note a number of similarities between algorithms BSC and PBIL on the one hand and ACO on the other hand.

In this work of thesis, we try to present work taking as a starting point the the real Ant Colony and Particle Swarm Optimization for the resolution of problems in data processing. We will try to present some additional approaches of these new biomimetic inspirations.

I. AICCSA 2010 (Tunisia)

W. Elloumi, and Adel M. Alimi " A More Efficient MOPSO for Optimization " In Proceedings of the eight ACS/IEEE International Conference on Computer System and Applications, AICCSA 2010, Hammamet, Tunisia, 16-19 May 2010, pp 7. (ISBN: 978-1-4244-7715-9)

II. ISCIII 2009 (Egypt)

W. Elloumi, N. Rokbani and Adel M. Alimi " Ant Supervised by PSO " The 4^th International Symposium on Computational Intelligence and Intelligent Informatics, ISCIII 09, Luxor-Aswan, Egypt, 21-25 October 2009, pp 161-166. (ISBN: 978-1-4244-5382-5)

III. META 2008 (Tunisia)

W. Elloumi, and Adel M. Alimi " Combinatory Optimization of ACO and PSO " The 2^nd International Conference on Metaheuristics and Nature Inspired Computing, META 08, Hammamet, Tunisia, 29-31 October-2008, pp 8.

IV. AICCSA 2008 (Doha Qatar)

W. Elloumi, M. Chakroun, M. Charfi, and Adel M. Alimi " Compression of the images of ancient Arab manuscript documents Based on segmentation " In Proceedings of the sixth ACS/IEEE International Conference on Computer System and Applications AICCSA 08 Doha Qatar March 31, april 4, 2008, pp 879-883. (ISBN: 978-1-4244-1967-8)