Title

Evolution Of Cooperating And Competing Individuals In A Dynamic Fitness Environment

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.

Publication Date

1-1-1999

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

3722

Number of Pages

294-302

Document Type

Article

Personal Identifier

scopus

Socpus ID

0032666976 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0032666976

This document is currently not available here.

Share

COinS