Evolutionary artificial immune system optimization

Authors:
André Ferry Barreira;Carlos Eduardo de Jesus Guimarães Oliveira;Otávio Noura Teixeira;Roberto Célio Limão de Oliveira
Affiliations:
Centro Universitário do Estado do Pará (CESUPA), Belém, Brazil;Centro Universitário do Estado do Pará (CESUPA), Belém, Brazil;Centro Universitário do Estado do Pará (CESUPA), Belém, Brazil;Universidade Federal do Pará (UFPA), Belém, Brazil
Venue:
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Year:
2010

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Abstract

In this paper, it is presented a new evolutionary algorithm of advanced optimization based in the technique of Artificial Immune Systems and in the Principles of Game Theory, more specifically, in the inclusion of evolutionary characteristics and a phase called "Social Interaction" in the algorithm AISO. In this way some theoretical aspects are presented, the new algorithm proposal and finally some simulation and comparison to Classical Genetic Algorithm and Genetic Algorithm with Social Interaction are made to the Traveling Salesman Problem.