The optimal resource allocation in stochastic activity networks via the evolutionary approach : a platform implementation in Java

Detalhes bibliográficos
Autor(a) principal: Tereso, Anabela Pereira
Data de Publicação: 2007
Outros Autores: Costa, L., Novais, Rui A., Araújo, Maria Madalena Teixeira de
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/1822/19366
Resumo: An optimal resource allocation approach to stochastic multimodal projects had been previously developed by applying a Dynamic Programming Model, which proved to be very demanding computationally. A new approach, the Electromagnetism Algorithm had also been adapted and implemented, with better results than the Dynamic Programming Model. This paper presents another philosophy for solving the same problem, based on an Evolutionary Algorithm. This approach was implemented using an Object Oriented language, Java, and its results were compared to the Electromagnetism Algorithm. A distributed version was also developed, to be run in a computer network, in order to take advantage of available computational resources.
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spelling The optimal resource allocation in stochastic activity networks via the evolutionary approach : a platform implementation in JavaProject management and schedulingStochastic activity networksResource allocationEvolutionary algorithmsElectromagnetism algorithmAn optimal resource allocation approach to stochastic multimodal projects had been previously developed by applying a Dynamic Programming Model, which proved to be very demanding computationally. A new approach, the Electromagnetism Algorithm had also been adapted and implemented, with better results than the Dynamic Programming Model. This paper presents another philosophy for solving the same problem, based on an Evolutionary Algorithm. This approach was implemented using an Object Oriented language, Java, and its results were compared to the Electromagnetism Algorithm. A distributed version was also developed, to be run in a computer network, in order to take advantage of available computational resources.Fundação para a Ciência e a Tecnologia (FCT)Universidade do MinhoTereso, Anabela PereiraCosta, L.Novais, Rui A.Araújo, Maria Madalena Teixeira de20072007-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/19366enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T04:17:39Zoai:repositorium.sdum.uminho.pt:1822/19366Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:44:39.409597Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv The optimal resource allocation in stochastic activity networks via the evolutionary approach : a platform implementation in Java
title The optimal resource allocation in stochastic activity networks via the evolutionary approach : a platform implementation in Java
spellingShingle The optimal resource allocation in stochastic activity networks via the evolutionary approach : a platform implementation in Java
Tereso, Anabela Pereira
Project management and scheduling
Stochastic activity networks
Resource allocation
Evolutionary algorithms
Electromagnetism algorithm
title_short The optimal resource allocation in stochastic activity networks via the evolutionary approach : a platform implementation in Java
title_full The optimal resource allocation in stochastic activity networks via the evolutionary approach : a platform implementation in Java
title_fullStr The optimal resource allocation in stochastic activity networks via the evolutionary approach : a platform implementation in Java
title_full_unstemmed The optimal resource allocation in stochastic activity networks via the evolutionary approach : a platform implementation in Java
title_sort The optimal resource allocation in stochastic activity networks via the evolutionary approach : a platform implementation in Java
author Tereso, Anabela Pereira
author_facet Tereso, Anabela Pereira
Costa, L.
Novais, Rui A.
Araújo, Maria Madalena Teixeira de
author_role author
author2 Costa, L.
Novais, Rui A.
Araújo, Maria Madalena Teixeira de
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Tereso, Anabela Pereira
Costa, L.
Novais, Rui A.
Araújo, Maria Madalena Teixeira de
dc.subject.por.fl_str_mv Project management and scheduling
Stochastic activity networks
Resource allocation
Evolutionary algorithms
Electromagnetism algorithm
topic Project management and scheduling
Stochastic activity networks
Resource allocation
Evolutionary algorithms
Electromagnetism algorithm
description An optimal resource allocation approach to stochastic multimodal projects had been previously developed by applying a Dynamic Programming Model, which proved to be very demanding computationally. A new approach, the Electromagnetism Algorithm had also been adapted and implemented, with better results than the Dynamic Programming Model. This paper presents another philosophy for solving the same problem, based on an Evolutionary Algorithm. This approach was implemented using an Object Oriented language, Java, and its results were compared to the Electromagnetism Algorithm. A distributed version was also developed, to be run in a computer network, in order to take advantage of available computational resources.
publishDate 2007
dc.date.none.fl_str_mv 2007
2007-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/19366
url http://hdl.handle.net/1822/19366
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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repository.mail.fl_str_mv info@rcaap.pt
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