Coevolutionary genetic algorithms to simulate the immune system's gene libraries evolution

  • Authors:

  • Grazziela P. Figueredo;Luis A. V. de Carvalho;Helio J. C. Barbosa

  • Affiliations:

  • COPPE/UFRJ, Rio de Janeiro, RJ, Brazil;COPPE/UFRJ, Rio de Janeiro, RJ, Brazil;LNCC/MCT, Petropolis, RJ, Brazil

  • Venue:
  • ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
  • Year:
  • 2005

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Abstract

Two binary-encoded models describing some aspects of the coevolution between an artificial immune system and a set of antigens have been proposed and analyzed. The first model has focused on the coevolution between antibodies generating gene libraries and antigens. In the second model, the coevolution involves a new population of self molecules whose function was to establish restrictions in the evolution of libraries' population. A coevolutionary genetic algorithm (CGA) was used to form adaptive niching inspired in the Coevolutionary Shared Niching strategy. Numerical experiments and conclusions are presented.