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A Robust Master-Slave Distribution Architecture for Evolutionary Computations

Christian Gagné, Marc Parizeau and Marc Dubreuil

Abstract - This paper presents a new robust master-slave distribution architecture for multiple populations Evolutionary Computations (EC). It discusses the main advantages and drawbacks of master-slave models over island models for parallel and distributed EC. It also formulates a mathematical model of the master-slave distribution policies in order to show that, contrary to what is implied by current mainstream developments in island models, a well designed master-slave approach can be both robust and scalable (up to a certain point). Finally, it introduces some of the details of a new {C++} framework named Distributed BEAGLE, which implements this architecture over the Open BEAGLE EC framework.

Bibtex:

@inproceedings{Gagné456,
author    = { Christian Gagné and Marc Parizeau and Marc Dubreuil },
title     = { A Robust Master-Slave Distribution Architecture for Evolutionary Computations },
booktitle = { Late Breaking Papers, Genetic and Evolutionary Computation COnference (GECCO) 2003 },
pages     = { 80--87 },
year      = { 2003 },
month     = { July 12-16 },
location  = { Chicago (IL) }
}

Last modification: 2003/07/21 by cgagne

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