A Distributed Computing Environment for Genetic Programming Using MPI

Authors:
Francisco Fernández de Vega;Marco Tomassini;Leonardo Vanneschi;Laurent Bucher
Affiliations:
-;-;-;-
Venue:
Proceedings of the 7th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Year:
2000

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Abstract

This paper presents an environment for distributed genetic programming using MPI. Genetic programming is a stochastic evolutionary learning methodology that can greatly benefit from parallel/distributed implementations. We describe the distributed system, as well as a user-friendly graphical interface to the tool. The usefulness of the distributed setting is demonstrated by the results obtained to date on several difficult problems, one of which is described in the text.