Adaptations of a resources system selection problem of Distributed/Agile/Virtual Enterprises for using genetic algorithms

Detalhes bibliográficos
Autor(a) principal: Ávila, Paulo
Data de Publicação: 2014
Outros Autores: Mota, Alzira, Putnik, Goran, Costa, Lino
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/23096
Resumo: The selection of resource systems is still a difficult matter to solve in distributed / Agile / Virtual enterprises ( D/A/V Es ) integration. Attempts to solve the resources selection problem, has originated several models and consequently different algorithms have been applied to obtain solutions. The exact algorithms have good performance (in terms of computational time) for low dimension problems. However, become ineffective as the complexity increases. Genetic algorithms are considered robust and versatile. These have been applied to complex problems in several application areas and gained popularity in innumerable research works. To improve the computational time in solving the resources selection problem, we pretend to apply a genetic algorithm. Due to the characteristics of the model, the application of this algorithm forced adjustments in the initial model. In this work, we present the adaptations performed in the study model in order to use genetic algorithms.
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spelling Adaptations of a resources system selection problem of Distributed/Agile/Virtual Enterprises for using genetic algorithmsDistributed/Agile/Virtual EnterprisesResources System Selection ProblemExact AlgorithmsGenetic AlgorithmsThe selection of resource systems is still a difficult matter to solve in distributed / Agile / Virtual enterprises ( D/A/V Es ) integration. Attempts to solve the resources selection problem, has originated several models and consequently different algorithms have been applied to obtain solutions. The exact algorithms have good performance (in terms of computational time) for low dimension problems. However, become ineffective as the complexity increases. Genetic algorithms are considered robust and versatile. These have been applied to complex problems in several application areas and gained popularity in innumerable research works. To improve the computational time in solving the resources selection problem, we pretend to apply a genetic algorithm. Due to the characteristics of the model, the application of this algorithm forced adjustments in the initial model. In this work, we present the adaptations performed in the study model in order to use genetic algorithms.2100 Projects Association - Scientific Association for Promotion of Technology and Management for Organizational and Social Transformative ChangeRepositório Científico do Instituto Politécnico do PortoÁvila, PauloMota, AlziraPutnik, GoranCosta, Lino2023-06-07T15:58:10Z20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/23096engÁvila P., Mota A., Putnik G. D., Costa L. (2014) Adaptations of a Resources System Selection Problem of Distributed/Agile/Virtual Enterprises for Using Genetic Algorithms, Proceedings of 2100 Projects Association Joint Conferences, 2100 Projects Association, Vol. 1, pp. 7-12, ISSN: 2183-3060.2183-306010.26537/recipp-23096info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-06-21T01:46:11Zoai:recipp.ipp.pt:10400.22/23096Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:00:25.195076Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Adaptations of a resources system selection problem of Distributed/Agile/Virtual Enterprises for using genetic algorithms
title Adaptations of a resources system selection problem of Distributed/Agile/Virtual Enterprises for using genetic algorithms
spellingShingle Adaptations of a resources system selection problem of Distributed/Agile/Virtual Enterprises for using genetic algorithms
Ávila, Paulo
Distributed/Agile/Virtual Enterprises
Resources System Selection Problem
Exact Algorithms
Genetic Algorithms
title_short Adaptations of a resources system selection problem of Distributed/Agile/Virtual Enterprises for using genetic algorithms
title_full Adaptations of a resources system selection problem of Distributed/Agile/Virtual Enterprises for using genetic algorithms
title_fullStr Adaptations of a resources system selection problem of Distributed/Agile/Virtual Enterprises for using genetic algorithms
title_full_unstemmed Adaptations of a resources system selection problem of Distributed/Agile/Virtual Enterprises for using genetic algorithms
title_sort Adaptations of a resources system selection problem of Distributed/Agile/Virtual Enterprises for using genetic algorithms
author Ávila, Paulo
author_facet Ávila, Paulo
Mota, Alzira
Putnik, Goran
Costa, Lino
author_role author
author2 Mota, Alzira
Putnik, Goran
Costa, Lino
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Ávila, Paulo
Mota, Alzira
Putnik, Goran
Costa, Lino
dc.subject.por.fl_str_mv Distributed/Agile/Virtual Enterprises
Resources System Selection Problem
Exact Algorithms
Genetic Algorithms
topic Distributed/Agile/Virtual Enterprises
Resources System Selection Problem
Exact Algorithms
Genetic Algorithms
description The selection of resource systems is still a difficult matter to solve in distributed / Agile / Virtual enterprises ( D/A/V Es ) integration. Attempts to solve the resources selection problem, has originated several models and consequently different algorithms have been applied to obtain solutions. The exact algorithms have good performance (in terms of computational time) for low dimension problems. However, become ineffective as the complexity increases. Genetic algorithms are considered robust and versatile. These have been applied to complex problems in several application areas and gained popularity in innumerable research works. To improve the computational time in solving the resources selection problem, we pretend to apply a genetic algorithm. Due to the characteristics of the model, the application of this algorithm forced adjustments in the initial model. In this work, we present the adaptations performed in the study model in order to use genetic algorithms.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
2023-06-07T15:58:10Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/23096
url http://hdl.handle.net/10400.22/23096
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Ávila P., Mota A., Putnik G. D., Costa L. (2014) Adaptations of a Resources System Selection Problem of Distributed/Agile/Virtual Enterprises for Using Genetic Algorithms, Proceedings of 2100 Projects Association Joint Conferences, 2100 Projects Association, Vol. 1, pp. 7-12, ISSN: 2183-3060.
2183-3060
10.26537/recipp-23096
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv 2100 Projects Association - Scientific Association for Promotion of Technology and Management for Organizational and Social Transformative Change
publisher.none.fl_str_mv 2100 Projects Association - Scientific Association for Promotion of Technology and Management for Organizational and Social Transformative Change
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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