Genetic Algorithms for the Generation of Models with Micropopulations
Inhaltsverzeichnis
Reference
Saez, Yago; Sanjuan, Oscar; Segovia, Javier; Isasi, Pedro: Genetic Algorithms for the Generation of Models with Micropopulations. In: EvoMUSART 2003, S. 570-580.
DOI
http://link.springer.com/10.1007/3-540-36605-9_52
Abstract
The present article puts forward a method for an interactive model generation through the use of Genetic Algorithms applied to small populations. Micropopulations actually worsen the problem of the premature convergence of the algorithm, since genetic diversity is very limited. In addition, some key factors, which modify the changing likelihood of alleles, cause the likelihood of premature convergence to decrease. The present technique has been applied to the design of 3D models, starting from generic and standard pieces, using objective searches and searches with no defined objective.
Extended Abstract
Bibtex
@incollection{
year={2003},
isbn={978-3-540-00976-4},
booktitle={Applications of Evolutionary Computing},
volume={2611},
series={Lecture Notes in Computer Science},
editor={Cagnoni, Stefano and Johnson, ColinG. and Cardalda, JuanJ.Romero and Marchiori, Elena and Corne, DavidW. and Meyer, Jean-Arcady and Gottlieb, Jens and Middendorf, Martin and Guillot, Agnès and Raidl, GüntherR. and Hart, Emma},
doi={10.1007/3-540-36605-9_52},
title={Genetic Algorithms for the Generation of Models with Micropopulations},
url={http://dx.doi.org/10.1007/3-540-36605-9_52 http://de.evo-art.org/index.php?title=Genetic_Algorithms_for_the_Generation_of_Models_with_Micropopulations },
publisher={Springer Berlin Heidelberg},
author={Sáez, Yago and Sanjuán, Oscar and Segovia, Javier and Isasi, Pedro},
pages={570-580},
language={English}
}
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