Evolution of cooperating and competing individuals in a dynamic fitness environment

Rebecca J. Parsons

doi:10.1117/12.342884

22 March 1999 Evolution of cooperating and competing individuals in a dynamic fitness environment

Rebecca J. Parsons

Proceedings Volume 3722, Applications and Science of Computational Intelligence II; (1999) https://doi.org/10.1117/12.342884
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

Evolving a single individual does not provide a solution when a set of individuals is needed to address different aspects of the problem. Genetic algorithms, however, are typically used to evolve a single individual. We have generalized previous work on modeling the immune system and developed a fitness method that allows a single run of a genetic algorithm to evolve a suite of individuals that compete with each other for fitness and yet cooperate to solve a problem. The method is a form of tournament fitness where individuals compete for fitness with other members of the population. The competitions vary throughout the run, resulting in a changing fitness environment. Experimental results and a preliminary model are described that verify the validity of the approach. We also present explanations for unexpected results from our previous work.

Citation Download Citation

Rebecca J. Parsons "Evolution of cooperating and competing individuals in a dynamic fitness environment", Proc. SPIE 3722, Applications and Science of Computational Intelligence II, (22 March 1999); https://doi.org/10.1117/12.342884

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