Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problems

In this paper, we introduce a new preference relation based on a reference point approach. This relation offers an easy approach to integrate decision maker’s preferences into a Multiobjective Evolutionary Algorithm (MOEA) without mod- ifying its basic structure. Besides finding the optimal solution...

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Detalles Bibliográficos
Autores: ANTONIO LOPEZ JAIMES, CARLOS ARTEMIO COELLO COELLO
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:México
Institución:Universidad Autónoma Metropolitana
Repositorio:Concentración de Recursos de Información Científica y Académica, UAM Cuajimalpa
Idioma:inglés
OAI Identifier:oai:ilitia.cua.uam.mx:123456789/17
Acceso en línea:http://ilitia.cua.uam.mx:8080/jspui/handle/123456789/17
Access Level:acceso abierto
Palabra clave:info:eu-repo/classification/cti/7
Computación Evolutiva
Optimización Multiobjetivo
Métodos de Optimización Interactiva
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spelling Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problemsANTONIO LOPEZ JAIMESCARLOS ARTEMIO COELLO COELLOinfo:eu-repo/classification/cti/7Computación EvolutivaOptimización MultiobjetivoMétodos de Optimización InteractivaIn this paper, we introduce a new preference relation based on a reference point approach. This relation offers an easy approach to integrate decision maker’s preferences into a Multiobjective Evolutionary Algorithm (MOEA) without mod- ifying its basic structure. Besides finding the optimal solution of the achievement scalarizing function, the new preference relation allows the decision maker to find a set of solutions around that optimal solution. Then, a MOEA equipped with the proposed preference relation can be integrated into an interactive optimization method. One of the main advantages of the new method is that setting its parameters is an intuitive task to the decision maker. The other advantage is that, since our preference relation induces a finer order on vectors of objective space than that achieved by the Pareto dominance relation, it is appropriate to cope with problems having a high number of objectives.Information Sciences December 22, 20132014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://ilitia.cua.uam.mx:8080/jspui/handle/123456789/17reponame:Concentración de Recursos de Información Científica y Académica, UAM Cuajimalpainstname:Universidad Autónoma Metropolitanainstacron:UAM CUAJIMAILPAenginfo:eu-repo/semantics/reference/ISSN/0020-0255info:eu-repo/semantics/dataset/DOI/http://delta.cs.cinvestav.mx/~ccoello/journals/lopez14b.pdf.gz.info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0oai:ilitia.cua.uam.mx:123456789/172025-09-17T19:30:31Z
dc.title.none.fl_str_mv Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problems
title Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problems
spellingShingle Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problems
ANTONIO LOPEZ JAIMES
info:eu-repo/classification/cti/7
Computación Evolutiva
Optimización Multiobjetivo
Métodos de Optimización Interactiva
title_short Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problems
title_full Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problems
title_fullStr Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problems
title_full_unstemmed Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problems
title_sort Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problems
dc.creator.none.fl_str_mv ANTONIO LOPEZ JAIMES
CARLOS ARTEMIO COELLO COELLO
author ANTONIO LOPEZ JAIMES
author_facet ANTONIO LOPEZ JAIMES
CARLOS ARTEMIO COELLO COELLO
author_role author
author2 CARLOS ARTEMIO COELLO COELLO
author2_role author
dc.subject.none.fl_str_mv info:eu-repo/classification/cti/7
Computación Evolutiva
Optimización Multiobjetivo
Métodos de Optimización Interactiva
topic info:eu-repo/classification/cti/7
Computación Evolutiva
Optimización Multiobjetivo
Métodos de Optimización Interactiva
description In this paper, we introduce a new preference relation based on a reference point approach. This relation offers an easy approach to integrate decision maker’s preferences into a Multiobjective Evolutionary Algorithm (MOEA) without mod- ifying its basic structure. Besides finding the optimal solution of the achievement scalarizing function, the new preference relation allows the decision maker to find a set of solutions around that optimal solution. Then, a MOEA equipped with the proposed preference relation can be integrated into an interactive optimization method. One of the main advantages of the new method is that setting its parameters is an intuitive task to the decision maker. The other advantage is that, since our preference relation induces a finer order on vectors of objective space than that achieved by the Pareto dominance relation, it is appropriate to cope with problems having a high number of objectives.
publishDate 2014
dc.date.none.fl_str_mv 2014
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://ilitia.cua.uam.mx:8080/jspui/handle/123456789/17
url http://ilitia.cua.uam.mx:8080/jspui/handle/123456789/17
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/reference/ISSN/0020-0255
info:eu-repo/semantics/dataset/DOI/http://delta.cs.cinvestav.mx/~ccoello/journals/lopez14b.pdf.gz.
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Information Sciences December 22, 2013
publisher.none.fl_str_mv Information Sciences December 22, 2013
dc.source.none.fl_str_mv reponame:Concentración de Recursos de Información Científica y Académica, UAM Cuajimalpa
instname:Universidad Autónoma Metropolitana
instacron:UAM CUAJIMAILPA
instname_str Universidad Autónoma Metropolitana
instacron_str UAM CUAJIMAILPA
institution UAM CUAJIMAILPA
reponame_str Concentración de Recursos de Información Científica y Académica, UAM Cuajimalpa
collection Concentración de Recursos de Información Científica y Académica, UAM Cuajimalpa
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