Coevolutionary Dynamics of a Multi-population Genetic Programming System

Authors:
Josh C. Bongard
Affiliations:
-
Venue:
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
Year:
1999

Citing 6
Cited 0

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Abstract

This report presents an asynchronous, distributed genetic programming (GP) system using a master/slave architecture. Using symbolic regression for fourier functions as the problem domain, the system was found to demonstrate cooperative coevolutionary dynamics when multiple client populations evolve solutions to similar, but different problems: specifically, closely coupled populations were found to promote continuous search, which in some cases leads to the discovery of better solutions.