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Parallel Single Front Genetic Algorithm: Performance Analysis in a Cluster System
Nice, France April 22-April 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IPDPS.2003.1213273International Parallel and Distribute ...
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F. De Toro, J. Ortega, B. Paechter, "Parallel Single Front Genetic Algorithm: Performance Analysis in a Cluster System," Parallel and Distributed Processing Symposium, International, pp. 143b, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003.
 
 
BibTex
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@article{ 10.1109/IPDPS.2003.1213273,
author = {F. De Toro and J. Ortega and B. Paechter},
title = {Parallel Single Front Genetic Algorithm: Performance Analysis in a Cluster System},
journal ={Parallel and Distributed Processing Symposium, International},
volume = {0},
year = {2003},
issn = {1530-2075},
pages = {143b},
doi = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2003.1213273},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel and Distributed Processing Symposium, International
TI - Parallel Single Front Genetic Algorithm: Performance Analysis in a Cluster System
SN - 1530-2075
SP
EP
A1 - F. De Toro,
A1 - J. Ortega,
A1 - B. Paechter,
PY - 2003
KW - null
VL - 0
JA - Parallel and Distributed Processing Symposium, International
ER -
 
F. De Toro, University of Huelva
J. Ortega, University of Granada
B. Paechter, Napier University
In this paper a performance analysis in a cluster system of the Parallel Single Front Genetic Algorithm (PSFGA) is carried out. The PSFGA is a parallel evolutionary optimizer for multiobjective problems that use a structured population in the form of a set of islands. The SFGA, an elitist evolutionary algorithm with a clearing procedure that uses a grid in the objective space for diversity maintaining purposes, is performed on each subpopulation (island) associated to a different area in the search space. Experimental results show that PSFGA outperforms SFGA and SPEA (Strength Pareto Evolutionary Algorithm) in the cases studied.
Citation:
F. De Toro, J. Ortega, B. Paechter, "Parallel Single Front Genetic Algorithm: Performance Analysis in a Cluster System," ipdps, pp.143b, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003
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