Improving evolutionary algorithms performance by extending incest prevention
Provision of population diversity is one of the main goals to avoid premature convergence in Evolutionary Algorithms (EAs). In this way the risk of being trapped in local optima is minimised. Eshelman and Shaffer [4] attempted to maintain population diversity by using diverse strategies focusing on...
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Formato: | Objeto de conferencia |
Lenguaje: | Inglés |
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1998
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/24823 |
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I19-R120-10915-24823 |
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institution |
Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
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SEDICI (UNLP) |
language |
Inglés |
topic |
Ciencias Informáticas Informática evolutionary algorithms genetic diversity premature convergence selection mechanisms incest prevention Biology and genetics Algorithms Combinatorial algorithms Selection process |
spellingShingle |
Ciencias Informáticas Informática evolutionary algorithms genetic diversity premature convergence selection mechanisms incest prevention Biology and genetics Algorithms Combinatorial algorithms Selection process Alfonso, Hugo Cesan, P. Fernandez, Natalia Minetti, Gabriela F. Salto, Carolina Velazco, L. Gallard, Raúl Hector Improving evolutionary algorithms performance by extending incest prevention |
topic_facet |
Ciencias Informáticas Informática evolutionary algorithms genetic diversity premature convergence selection mechanisms incest prevention Biology and genetics Algorithms Combinatorial algorithms Selection process |
description |
Provision of population diversity is one of the main goals to avoid premature convergence in Evolutionary Algorithms (EAs). In this way the risk of being trapped in local optima is minimised. Eshelman and Shaffer [4] attempted to maintain population diversity by using diverse strategies focusing on mating, recombination and replacement. One of their approaches, called incest prevention, avoided mating of pairs showing similarities based on the parent’s hamming distance.
Conventional selection mechanisms does not consider if the members of the new population have common ancestors and consequently due to a finite fixed population size, a loss of genetic diversity can frequently arise.
This paper shows an extended approach of incest prevention by maintaining information about ancestors within the chromosome and modifying the selection for reproduction in order to impede mating of individuals belonging to the same “family”, for a predefined number of generations.
This novel approach was tested on a set of multimodal functions. Description of experiments and analyses of improved results are also shown. |
format |
Objeto de conferencia Objeto de conferencia |
author |
Alfonso, Hugo Cesan, P. Fernandez, Natalia Minetti, Gabriela F. Salto, Carolina Velazco, L. Gallard, Raúl Hector |
author_facet |
Alfonso, Hugo Cesan, P. Fernandez, Natalia Minetti, Gabriela F. Salto, Carolina Velazco, L. Gallard, Raúl Hector |
author_sort |
Alfonso, Hugo |
title |
Improving evolutionary algorithms performance by extending incest prevention |
title_short |
Improving evolutionary algorithms performance by extending incest prevention |
title_full |
Improving evolutionary algorithms performance by extending incest prevention |
title_fullStr |
Improving evolutionary algorithms performance by extending incest prevention |
title_full_unstemmed |
Improving evolutionary algorithms performance by extending incest prevention |
title_sort |
improving evolutionary algorithms performance by extending incest prevention |
publishDate |
1998 |
url |
http://sedici.unlp.edu.ar/handle/10915/24823 |
work_keys_str_mv |
AT alfonsohugo improvingevolutionaryalgorithmsperformancebyextendingincestprevention AT cesanp improvingevolutionaryalgorithmsperformancebyextendingincestprevention AT fernandeznatalia improvingevolutionaryalgorithmsperformancebyextendingincestprevention AT minettigabrielaf improvingevolutionaryalgorithmsperformancebyextendingincestprevention AT saltocarolina improvingevolutionaryalgorithmsperformancebyextendingincestprevention AT velazcol improvingevolutionaryalgorithmsperformancebyextendingincestprevention AT gallardraulhector improvingevolutionaryalgorithmsperformancebyextendingincestprevention |
bdutipo_str |
Repositorios |
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1764820466372968448 |