Genetic Programming: A Parallel Approach

Authors:
Wolfgang Golubski
Affiliations:
-
Venue:
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
Year:
2002

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Abstract

In this paper we introduce a parallel master-worker model for genetic programming where the master and each worker have their own equal-sized populations. The workers execute in parallel starting with the same population and are synchronized after a given interval where all worker populations are replaced by a new one. The proposed model will be applied to symbolic regression problems. Test results on two test series are presented.