Comparative analysis of the method of assignment by classes in GAVaPS

Three alternatives within the method of assignment by classes are presented for the calculation of individuals lifetime in genetic algorithms with varying population size. (GAVaPS). In the proposed strategy (assignment by classes) individuals are grouped according to their fitness. The purpose is to...

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Detalles Bibliográficos
Autores principales: Lanzarini, Laura Cristina, Sanz, Cecilia Verónica, Naiouf, Marcelo, Romero, Fernando
Formato: Articulo
Lenguaje:Inglés
Publicado: 2000
Materias:
Ciencias Informáticas
Algorithms
Heuristic methods
evolutive computation; genetic algorithms; genetic algorithms with varying population size
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9389
http://journal.info.unlp.edu.ar/wp-content/uploads/2015/papers_02/Comparative.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-9389
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
Algorithms
Heuristic methods
evolutive computation; genetic algorithms; genetic algorithms with varying population size
spellingShingle Ciencias Informáticas
Algorithms
Heuristic methods
evolutive computation; genetic algorithms; genetic algorithms with varying population size
Lanzarini, Laura Cristina
Sanz, Cecilia Verónica
Naiouf, Marcelo
Romero, Fernando
Comparative analysis of the method of assignment by classes in GAVaPS
topic_facet Ciencias Informáticas
Algorithms
Heuristic methods
evolutive computation; genetic algorithms; genetic algorithms with varying population size
description Three alternatives within the method of assignment by classes are presented for the calculation of individuals lifetime in genetic algorithms with varying population size. (GAVaPS). In the proposed strategy (assignment by classes) individuals are grouped according to their fitness. The purpose is to use the allowed range of lifetime values in a way which is more suitable to search the optimum than proportional, linear and bilinear strategies. A comparative study of three possibilities of assignment by classes as related to the traditional methods is carried out, and results are shown over five functions. Finally, some conclusions are presented, along with possible future lines of work.
format Articulo
Articulo
author Lanzarini, Laura Cristina
Sanz, Cecilia Verónica
Naiouf, Marcelo
Romero, Fernando
author_facet Lanzarini, Laura Cristina
Sanz, Cecilia Verónica
Naiouf, Marcelo
Romero, Fernando
author_sort Lanzarini, Laura Cristina
title Comparative analysis of the method of assignment by classes in GAVaPS
title_short Comparative analysis of the method of assignment by classes in GAVaPS
title_full Comparative analysis of the method of assignment by classes in GAVaPS
title_fullStr Comparative analysis of the method of assignment by classes in GAVaPS
title_full_unstemmed Comparative analysis of the method of assignment by classes in GAVaPS
title_sort comparative analysis of the method of assignment by classes in gavaps
publishDate 2000
url http://sedici.unlp.edu.ar/handle/10915/9389
http://journal.info.unlp.edu.ar/wp-content/uploads/2015/papers_02/Comparative.pdf
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AT sanzceciliaveronica comparativeanalysisofthemethodofassignmentbyclassesingavaps
AT naioufmarcelo comparativeanalysisofthemethodofassignmentbyclassesingavaps
AT romerofernando comparativeanalysisofthemethodofassignmentbyclassesingavaps
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