A comparison of fitness scallng methods in evolutionary algorithms
- Autores
- Bertone, E.; Alfonso, Hugo; Gallard, Raúl Hector
- Año de publicación
- 1999
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Proportional selection (PS), as a selection mechanism for mating (reproduction with emphasis), selects individuals according to their fitness. Consequently the probability of an individual to obtain a number of offspring is directly proportional to its fitness value. This can lead to a loss of selective pressure in the fmal stages of the evolutionary process degrading the search. This presentation discusses performance results on evolutionary algorithms optimizing two highly multimodal (Michalewicz's and Griewank's) functions and a hard unimodal (Easom' s) function. Experiments were addressed to contrast the behaviour of a simple genetic algorithm against three scaling methods: linear, sigma truncation and recency-weighted- running-average. Diverse measures of performance were used to establish quality of results and convergence speed.
Eje: Redes y sistemas inteligentes
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Algorithms
methods in evolutionary algorithms
comparison of fitness - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/22219
Ver los metadatos del registro completo
id |
SEDICI_49bf31c725b6346822a834f97559c2aa |
---|---|
oai_identifier_str |
oai:sedici.unlp.edu.ar:10915/22219 |
network_acronym_str |
SEDICI |
repository_id_str |
1329 |
network_name_str |
SEDICI (UNLP) |
spelling |
A comparison of fitness scallng methods in evolutionary algorithmsBertone, E.Alfonso, HugoGallard, Raúl HectorCiencias InformáticasARTIFICIAL INTELLIGENCEAlgorithmsmethods in evolutionary algorithmscomparison of fitnessProportional selection (PS), as a selection mechanism for mating (reproduction with emphasis), selects individuals according to their fitness. Consequently the probability of an individual to obtain a number of offspring is directly proportional to its fitness value. This can lead to a loss of selective pressure in the fmal stages of the evolutionary process degrading the search. This presentation discusses performance results on evolutionary algorithms optimizing two highly multimodal (Michalewicz's and Griewank's) functions and a hard unimodal (Easom' s) function. Experiments were addressed to contrast the behaviour of a simple genetic algorithm against three scaling methods: linear, sigma truncation and recency-weighted- running-average. Diverse measures of performance were used to establish quality of results and convergence speed.Eje: Redes y sistemas inteligentesRed de Universidades con Carreras en Informática (RedUNCI)1999-05info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/22219enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:54:57Zoai:sedici.unlp.edu.ar:10915/22219Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:54:57.352SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
A comparison of fitness scallng methods in evolutionary algorithms |
title |
A comparison of fitness scallng methods in evolutionary algorithms |
spellingShingle |
A comparison of fitness scallng methods in evolutionary algorithms Bertone, E. Ciencias Informáticas ARTIFICIAL INTELLIGENCE Algorithms methods in evolutionary algorithms comparison of fitness |
title_short |
A comparison of fitness scallng methods in evolutionary algorithms |
title_full |
A comparison of fitness scallng methods in evolutionary algorithms |
title_fullStr |
A comparison of fitness scallng methods in evolutionary algorithms |
title_full_unstemmed |
A comparison of fitness scallng methods in evolutionary algorithms |
title_sort |
A comparison of fitness scallng methods in evolutionary algorithms |
dc.creator.none.fl_str_mv |
Bertone, E. Alfonso, Hugo Gallard, Raúl Hector |
author |
Bertone, E. |
author_facet |
Bertone, E. Alfonso, Hugo Gallard, Raúl Hector |
author_role |
author |
author2 |
Alfonso, Hugo Gallard, Raúl Hector |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas ARTIFICIAL INTELLIGENCE Algorithms methods in evolutionary algorithms comparison of fitness |
topic |
Ciencias Informáticas ARTIFICIAL INTELLIGENCE Algorithms methods in evolutionary algorithms comparison of fitness |
dc.description.none.fl_txt_mv |
Proportional selection (PS), as a selection mechanism for mating (reproduction with emphasis), selects individuals according to their fitness. Consequently the probability of an individual to obtain a number of offspring is directly proportional to its fitness value. This can lead to a loss of selective pressure in the fmal stages of the evolutionary process degrading the search. This presentation discusses performance results on evolutionary algorithms optimizing two highly multimodal (Michalewicz's and Griewank's) functions and a hard unimodal (Easom' s) function. Experiments were addressed to contrast the behaviour of a simple genetic algorithm against three scaling methods: linear, sigma truncation and recency-weighted- running-average. Diverse measures of performance were used to establish quality of results and convergence speed. Eje: Redes y sistemas inteligentes Red de Universidades con Carreras en Informática (RedUNCI) |
description |
Proportional selection (PS), as a selection mechanism for mating (reproduction with emphasis), selects individuals according to their fitness. Consequently the probability of an individual to obtain a number of offspring is directly proportional to its fitness value. This can lead to a loss of selective pressure in the fmal stages of the evolutionary process degrading the search. This presentation discusses performance results on evolutionary algorithms optimizing two highly multimodal (Michalewicz's and Griewank's) functions and a hard unimodal (Easom' s) function. Experiments were addressed to contrast the behaviour of a simple genetic algorithm against three scaling methods: linear, sigma truncation and recency-weighted- running-average. Diverse measures of performance were used to establish quality of results and convergence speed. |
publishDate |
1999 |
dc.date.none.fl_str_mv |
1999-05 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/22219 |
url |
http://sedici.unlp.edu.ar/handle/10915/22219 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
reponame_str |
SEDICI (UNLP) |
collection |
SEDICI (UNLP) |
instname_str |
Universidad Nacional de La Plata |
instacron_str |
UNLP |
institution |
UNLP |
repository.name.fl_str_mv |
SEDICI (UNLP) - Universidad Nacional de La Plata |
repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
_version_ |
1844615807866241024 |
score |
13.070432 |