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Distributed BEAGLE: An Environment for Parallel and Distributed Evolutionary Computations

Christian Gagné, Marc Parizeau and Marc Dubreuil

Abstract - Evolutionary computation is a promising artificial intelligence field involving the simulation of natural evolution to solve problems. Given its implicit parallelism and high computational requirements, evolutionary computation is the perfect candidate for high performance parallel computers. This paper presents Distributed BEAGLE, a new master-slave architecture for parallel and distributed evolutionary computations. It is designed as a robust, adaptive, and scalable system targeted for local networks of workstations and Beowulf clusters. Results obtained with a plausible deployment scenario demonstrate that system performance degrades gracefully when failures occurred, while still achieving near linear speedup in the ideal case.

Bibtex:

@inproceedings{Gagné439,
author    = { Christian Gagné and Marc Parizeau and Marc Dubreuil },
title     = { Distributed BEAGLE: An Environment for Parallel and Distributed Evolutionary Computations },
booktitle = { Proc. of the 17th Annual International Symposium on High Performance Computing Systems and Applications (HPCS) 2003 },
pages     = { 201--208 },
year      = { 2003 },
month     = { May 11-14 },
location  = { Sherbrooke (QC) },
language  = { English }
}

Dernière modification: 2003/04/04 par cgagne

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