A Robust Master-Slave Distribution Architecture for
Evolutionary Computations
C. Gagne, M. Parizeau, and M. Dubreuil. Genetic and Evolutionary Computation Conference Late
Breaking Papers, page 80--87. Chicago, USA, (12--16 July 2003)
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.
%0 Conference Paper
%1 gagne:gecco03lbp
%A Gagne, Christian
%A Parizeau, Marc
%A Dubreuil, Marc
%B Genetic and Evolutionary Computation Conference Late
Breaking Papers
%C Chicago, USA
%D 2003
%E Rylander, Bart
%K algorithms, genetic programming
%P 80--87
%T A Robust Master-Slave Distribution Architecture for
Evolutionary Computations
%U http://vision.gel.ulaval.ca/en/publications/Id_456/PublDetails.php
%X 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.
@inproceedings{gagne:gecco03lbp,
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.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Chicago, USA},
author = {Gagne, Christian and Parizeau, Marc and Dubreuil, Marc},
biburl = {https://www.bibsonomy.org/bibtex/24dee332b2093774e0892a4c63734dfcd/brazovayeye},
booktitle = {Genetic and Evolutionary Computation Conference Late
Breaking Papers},
editor = {Rylander, Bart},
interhash = {76e5687f5063d0261af1746f9a9181cd},
intrahash = {4dee332b2093774e0892a4c63734dfcd},
keywords = {algorithms, genetic programming},
month = {12--16 July},
notes = {GECCO-2003LB},
pages = {80--87},
timestamp = {2008-06-19T17:39:59.000+0200},
title = {A Robust Master-Slave Distribution Architecture for
Evolutionary Computations},
url = {http://vision.gel.ulaval.ca/en/publications/Id_456/PublDetails.php},
year = 2003
}