Parameters calibration for parallel differential evolution based on islands

We are studying di erent alternatives to obtain a version of the Di erential Evolution (DE) algorithm that improves the solutions quality properties. One of the parallel alternatives, named Island Model, follows a Master/Worker scheme. With this model, multiple instances of DE are executed in parall...

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Autores principales: Tardivo, María Laura, Caymes Scutari, Paola, Méndez Garabetti, Miguel, BIanchini, Germán
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2013
Materias:
Ciencias Informáticas
información
Optimization
mutation factor
differencial evolution
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/31709
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-31709
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
información
Optimization
mutation factor
differencial evolution
spellingShingle Ciencias Informáticas
información
Optimization
mutation factor
differencial evolution
Tardivo, María Laura
Caymes Scutari, Paola
Méndez Garabetti, Miguel
BIanchini, Germán
Parameters calibration for parallel differential evolution based on islands
topic_facet Ciencias Informáticas
información
Optimization
mutation factor
differencial evolution
description We are studying di erent alternatives to obtain a version of the Di erential Evolution (DE) algorithm that improves the solutions quality properties. One of the parallel alternatives, named Island Model, follows a Master/Worker scheme. With this model, multiple instances of DE are executed in parallel on various computing nodes or islands, each of them considering a di erent population of individuals. Each worker makes the search process, and communicates with each other to exchange information with certain frequency. This model signi cantly promote the exploration of a larger search space, which leads to good solutions quality. The aim of this paper is to analyse the behaviour of this model, when setting each island with di erent input parameters. We apply some input con guration tests for the islands, in order to analyse the impact in the solutions quality and the execution time, taking into account the crossover probability and mutation factor, and the crossing type. These parameters are crucial to guide the search towards certain areas of the search space.
format Objeto de conferencia
Objeto de conferencia
author Tardivo, María Laura
Caymes Scutari, Paola
Méndez Garabetti, Miguel
BIanchini, Germán
author_facet Tardivo, María Laura
Caymes Scutari, Paola
Méndez Garabetti, Miguel
BIanchini, Germán
author_sort Tardivo, María Laura
title Parameters calibration for parallel differential evolution based on islands
title_short Parameters calibration for parallel differential evolution based on islands
title_full Parameters calibration for parallel differential evolution based on islands
title_fullStr Parameters calibration for parallel differential evolution based on islands
title_full_unstemmed Parameters calibration for parallel differential evolution based on islands
title_sort parameters calibration for parallel differential evolution based on islands
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/31709
work_keys_str_mv AT tardivomarialaura parameterscalibrationforparalleldifferentialevolutionbasedonislands
AT caymesscutaripaola parameterscalibrationforparalleldifferentialevolutionbasedonislands
AT mendezgarabettimiguel parameterscalibrationforparalleldifferentialevolutionbasedonislands
AT bianchinigerman parameterscalibrationforparalleldifferentialevolutionbasedonislands
bdutipo_str Repositorios
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