Coevolutionary Genetic Algorithms to Simulate the Immune System's Gene Libraries Evolution

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.

• Type: Conference
• Year: 2005
• Where: ICNC
• Authors: Grazziela Patrocinio Figueredo, Luís Alfredo V. de Carvalho, Helio J. C. Barbosa
• Keywords: Antibodies Generating Gene, Coevolution, Coevolutionary Genetic Algorithm, ICNC 2005