A study of performance of stochastic universal sampling versus proportional selection on genetic algorithms
Selection mechanisms favour reproduction of better individuals imposing a direction on the search process. According to this it is expected that the effective number of offspring of an individual in the next generation would always agree with the algorithmic sampling frequencies. This does not happe...
| Autores principales: | , , , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
1999
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/22220 |
| Aporte de: |
| id |
I19-R120-10915-22220 |
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| record_format |
dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Informáticas stochastic universal sampling proportional selection genetic algorithms ARTIFICIAL INTELLIGENCE Algorithms |
| spellingShingle |
Ciencias Informáticas stochastic universal sampling proportional selection genetic algorithms ARTIFICIAL INTELLIGENCE Algorithms Minetti, Gabriela F. Salto, Carolina Alfonso, Hugo Gallard, Raúl Hector A study of performance of stochastic universal sampling versus proportional selection on genetic algorithms |
| topic_facet |
Ciencias Informáticas stochastic universal sampling proportional selection genetic algorithms ARTIFICIAL INTELLIGENCE Algorithms |
| description |
Selection mechanisms favour reproduction of better individuals imposing a direction on the search process. According to this it is expected that the effective number of offspring of an individual in the next generation would always agree with the algorithmic sampling frequencies. This does not happens due to sampling errors. Stochastic universal sampling is a method that tries to remedy this problem.
This presentation discusses performance results on evolutionary algorithms optimizing a set of highly multimodal functions and a hard unimodal function, under Proportional selection and stochastic universal sampling. Contrasting results are shown. |
| format |
Objeto de conferencia Objeto de conferencia |
| author |
Minetti, Gabriela F. Salto, Carolina Alfonso, Hugo Gallard, Raúl Hector |
| author_facet |
Minetti, Gabriela F. Salto, Carolina Alfonso, Hugo Gallard, Raúl Hector |
| author_sort |
Minetti, Gabriela F. |
| title |
A study of performance of stochastic universal sampling versus proportional selection on genetic algorithms |
| title_short |
A study of performance of stochastic universal sampling versus proportional selection on genetic algorithms |
| title_full |
A study of performance of stochastic universal sampling versus proportional selection on genetic algorithms |
| title_fullStr |
A study of performance of stochastic universal sampling versus proportional selection on genetic algorithms |
| title_full_unstemmed |
A study of performance of stochastic universal sampling versus proportional selection on genetic algorithms |
| title_sort |
study of performance of stochastic universal sampling versus proportional selection on genetic algorithms |
| publishDate |
1999 |
| url |
http://sedici.unlp.edu.ar/handle/10915/22220 |
| work_keys_str_mv |
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Repositorios |
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