PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation

This paper deals with the study of the cooperation between parallel processing and evolutionary computation to obtain efficient procedures for solving multiobjective optimisation problems. We propose a new algorithm called PSFGA (parallel single front genetic algorithm), an elitist evolutionary algo...

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Bibliographic Details

Published in:	Parallel computing Vol. 30; no. 5; pp. 721 - 739
Main Authors:	de Toro Negro, F, Ortega, J, Ros, E, Mota, S, Paechter, B, Martı́n, J.M
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.05.2004
Subjects:	Cluster of computers Multiobjective optimisation Parallel evolutionary algorithms Multiobjective optimisation Parallel evolutionary algorithms Cluster of computers
ISSN:	0167-8191, 1872-7336
Online Access:	Get full text
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