(Enter summary)
Abstract: In this work a parallel multi-objective genetic algorithm is presented.
The population selection and mating phase is kept distinct
from the population fitness evaluation loop, that is implemented
in parallel. The population can be logically split in subpopulations
which number does not depend on the number of
processors available for computation. Different sub-population
topologies and migration rates among sub-populations can be
used. Applications are illustrated both for single and... (Update)
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BibTeX entry: (Update)
Q. Vicini. (1998). Sub-population policies for a parallel multiobjective genetic algorithm with applications to wing design. In Proceedings of International Conference on Systems, Man, and Cybernetics, pp. 3142--3147. http://citeseer.ist.psu.edu/vicini98subpopulation.html More
@inproceedings{ quagliarella98subpopulation,
author = "Domenico Quagliarella and Alessandro Vicini",
title = "Sub-population {P}olicies for a {P}arallel {M}ultiobjective {G}enetic {A}lgorithm with {A}pplications to {W}ing {D}esign",
booktitle = "1998 {IEEE} International Conference On Systems, Man, And Cybernetics",
address = "San Diego, California",
pages = "3142--3147",
year = "1998",
url = "citeseer.ist.psu.edu/vicini98subpopulation.html" }
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6
Supervised parallel genetic algorithms in Aerodynamic optimi..
- Doorly, Peiro - 1997
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