Multi-objective optimization: Methods and applications

Detalhes bibliográficos
Autor(a) principal: Jones, Dylan F.
Data de Publicação: 2022
Outros Autores: Florentino, Helenice O. [UNESP]
Tipo de documento: Capítulo de livro
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/978-3-030-96935-6_6
http://hdl.handle.net/11449/247348
Resumo: Multi-objective optimization is concerned with finding solutions to a decision problem with multiple, normally conflicting objectives. This chapter focusses on multi-objective optimization problems that can be characterized within the paradigm of mathematical programming. Three modelling techniques that are well established in the literature are presented: Pareto set generation, goal programming and compromise programming. Each method is described, along with its strengths, weaknesses and areas of application. The underlying assumptions and philosophies of each method, nature of interaction of decision makers and nature of solutions produced is discussed and compared between the three methods. A small but representative example is given for each method and the results are discussed and conclusions are drawn.
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spelling Multi-objective optimization: Methods and applicationsMulti-objective optimization is concerned with finding solutions to a decision problem with multiple, normally conflicting objectives. This chapter focusses on multi-objective optimization problems that can be characterized within the paradigm of mathematical programming. Three modelling techniques that are well established in the literature are presented: Pareto set generation, goal programming and compromise programming. Each method is described, along with its strengths, weaknesses and areas of application. The underlying assumptions and philosophies of each method, nature of interaction of decision makers and nature of solutions produced is discussed and compared between the three methods. A small but representative example is given for each method and the results are discussed and conclusions are drawn.Centre for Operational Research and Logistics School of Mathematics and Physics University of PortsmouthInstitute of Biosciences São Paulo State University (Unesp)Institute of Biosciences São Paulo State University (Unesp)University of PortsmouthUniversidade Estadual Paulista (UNESP)Jones, Dylan F.Florentino, Helenice O. [UNESP]2023-07-29T13:13:37Z2023-07-29T13:13:37Z2022-07-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPart181-207http://dx.doi.org/10.1007/978-3-030-96935-6_6The Palgrave Handbook of Operations Research, p. 181-207.http://hdl.handle.net/11449/24734810.1007/978-3-030-96935-6_62-s2.0-85159065661Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengThe Palgrave Handbook of Operations Researchinfo:eu-repo/semantics/openAccess2023-07-29T13:13:37Zoai:repositorio.unesp.br:11449/247348Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T13:13:37Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Multi-objective optimization: Methods and applications
title Multi-objective optimization: Methods and applications
spellingShingle Multi-objective optimization: Methods and applications
Jones, Dylan F.
title_short Multi-objective optimization: Methods and applications
title_full Multi-objective optimization: Methods and applications
title_fullStr Multi-objective optimization: Methods and applications
title_full_unstemmed Multi-objective optimization: Methods and applications
title_sort Multi-objective optimization: Methods and applications
author Jones, Dylan F.
author_facet Jones, Dylan F.
Florentino, Helenice O. [UNESP]
author_role author
author2 Florentino, Helenice O. [UNESP]
author2_role author
dc.contributor.none.fl_str_mv University of Portsmouth
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Jones, Dylan F.
Florentino, Helenice O. [UNESP]
description Multi-objective optimization is concerned with finding solutions to a decision problem with multiple, normally conflicting objectives. This chapter focusses on multi-objective optimization problems that can be characterized within the paradigm of mathematical programming. Three modelling techniques that are well established in the literature are presented: Pareto set generation, goal programming and compromise programming. Each method is described, along with its strengths, weaknesses and areas of application. The underlying assumptions and philosophies of each method, nature of interaction of decision makers and nature of solutions produced is discussed and compared between the three methods. A small but representative example is given for each method and the results are discussed and conclusions are drawn.
publishDate 2022
dc.date.none.fl_str_mv 2022-07-07
2023-07-29T13:13:37Z
2023-07-29T13:13:37Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/978-3-030-96935-6_6
The Palgrave Handbook of Operations Research, p. 181-207.
http://hdl.handle.net/11449/247348
10.1007/978-3-030-96935-6_6
2-s2.0-85159065661
url http://dx.doi.org/10.1007/978-3-030-96935-6_6
http://hdl.handle.net/11449/247348
identifier_str_mv The Palgrave Handbook of Operations Research, p. 181-207.
10.1007/978-3-030-96935-6_6
2-s2.0-85159065661
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv The Palgrave Handbook of Operations Research
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 181-207
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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