Metaheurística Híbrida GRASP e Busca Tabu Aplicada ao Problema de Escalonamento de Tarefas

Detalhes bibliográficos
Ano de defesa: 2010
Autor(a) principal: Cunha, Cláudia Rossana lattes
Orientador(a): Cabral, Lucídio dos Anjos Formiga lattes
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal da Paraí­ba
Programa de Pós-Graduação: Programa de Pós Graduação em Informática
Departamento: Informática
País: BR
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: https://repositorio.ufpb.br/jspui/handle/tede/6055
Resumo: This work approaches the problem of the tasks scheduling (Job Shop Scheduling) through the combination of the GRASP and Tabu Search metaheuristics. The study consists of using the GRASP (Greedy Randomized Adaptive Search Procedure) in the construction phase of the initial solution, suggesting for that, a specific procedure based on Coffman Gramah algorithm. However, such procedure was the great differential in this study, since it offers an initial solution qualitatively better, what allows the reduction of the local search time, where it was utilized the Tabu Search metaheuristic in the local search phase, which provided best results when it was compared with other metaheuristics that have the same structural base. The combination GRASP and Tabu Search were evaluated under two differentiated implementations, being one with Tabu Search in its form more simplified and another one with Tabu Search developing a process of optimized search, using an aditional mathematical model, which demonstrated great advancements in relation at processing time and the obtained results. The computational results, when compared with the existing ones in literature, they had shown that GRASP and Tabu Search combination are capable to produce good solutions.
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spelling 2015-05-14T12:36:29Z2018-07-21T00:14:19Z2012-01-192018-07-21T00:14:19Z2010-07-16CUNHA, Cláudia Rossana. Metaheurística Híbrida GRASP e Busca Tabu Aplicada ao Problema de Escalonamento de Tarefas. 2010. 67 f. Dissertação (Mestrado em Informática) - Universidade Federal da Paraí­ba, João Pessoa, 2010.https://repositorio.ufpb.br/jspui/handle/tede/6055This work approaches the problem of the tasks scheduling (Job Shop Scheduling) through the combination of the GRASP and Tabu Search metaheuristics. The study consists of using the GRASP (Greedy Randomized Adaptive Search Procedure) in the construction phase of the initial solution, suggesting for that, a specific procedure based on Coffman Gramah algorithm. However, such procedure was the great differential in this study, since it offers an initial solution qualitatively better, what allows the reduction of the local search time, where it was utilized the Tabu Search metaheuristic in the local search phase, which provided best results when it was compared with other metaheuristics that have the same structural base. The combination GRASP and Tabu Search were evaluated under two differentiated implementations, being one with Tabu Search in its form more simplified and another one with Tabu Search developing a process of optimized search, using an aditional mathematical model, which demonstrated great advancements in relation at processing time and the obtained results. The computational results, when compared with the existing ones in literature, they had shown that GRASP and Tabu Search combination are capable to produce good solutions.Este trabalho aborda o problema de escalonamento de tarefas (Job Shop Scheduling) através da combinação das metaheurísticas GRASP e Busca Tabu. O estudo consiste em utilizar o GRASP na fase de construção da solução inicial, sugerindo, para tanto, um procedimento específico baseado no algoritmo de Coffman Gramah. Tal procedimento foi o grande diferencial deste trabalho, visto que oferece uma solução inicial qualitativamente superior, permitindo a redução do tempo de busca local, onde foi utilizada a metaheurística Busca Tabu, a qual demonstrou proporcionar melhores resultados, comparando-se com outras metaheurísticas que seguem a mesma base estrutural. A combinação GRASP e Busca Tabu foi avaliada sob duas implementações diferenciadas, sendo uma com a Busca Tabu em sua forma mais simplificada e outra com a Busca Tabu desenvolvendo um processo de busca otimizada com o auxílio de um modelo matemático , a qual demonstrou grandes progressos quanto ao tempo de processamento e a obtenção de resultados. Os resultados computacionais obtidos, quando comparados com os existentes na literatura, mostraram que a combinação GRASP e Busca Tabu é capaz de produzir boas soluções.Made available in DSpace on 2015-05-14T12:36:29Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 2138461 bytes, checksum: b91d7f14f64fd9d32fd38aee2b19b970 (MD5) Previous issue date: 2010-07-16Made available in DSpace on 2018-07-21T00:14:19Z (GMT). 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dc.title.por.fl_str_mv Metaheurística Híbrida GRASP e Busca Tabu Aplicada ao Problema de Escalonamento de Tarefas
title Metaheurística Híbrida GRASP e Busca Tabu Aplicada ao Problema de Escalonamento de Tarefas
spellingShingle Metaheurística Híbrida GRASP e Busca Tabu Aplicada ao Problema de Escalonamento de Tarefas
Cunha, Cláudia Rossana
Escalonamento de processos
GRASP
Busca Tabu
Job Shop Scheduling
GRASP
Tabu Search
CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
title_short Metaheurística Híbrida GRASP e Busca Tabu Aplicada ao Problema de Escalonamento de Tarefas
title_full Metaheurística Híbrida GRASP e Busca Tabu Aplicada ao Problema de Escalonamento de Tarefas
title_fullStr Metaheurística Híbrida GRASP e Busca Tabu Aplicada ao Problema de Escalonamento de Tarefas
title_full_unstemmed Metaheurística Híbrida GRASP e Busca Tabu Aplicada ao Problema de Escalonamento de Tarefas
title_sort Metaheurística Híbrida GRASP e Busca Tabu Aplicada ao Problema de Escalonamento de Tarefas
author Cunha, Cláudia Rossana
author_facet Cunha, Cláudia Rossana
author_role author
dc.contributor.advisor1.fl_str_mv Cabral, Lucídio dos Anjos Formiga
dc.contributor.advisor1ID.fl_str_mv CPF:37383388372
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/6699185881827288
dc.contributor.authorID.fl_str_mv CPF:69083126404
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/7528689667806905
dc.contributor.author.fl_str_mv Cunha, Cláudia Rossana
contributor_str_mv Cabral, Lucídio dos Anjos Formiga
dc.subject.por.fl_str_mv Escalonamento de processos
GRASP
Busca Tabu
topic Escalonamento de processos
GRASP
Busca Tabu
Job Shop Scheduling
GRASP
Tabu Search
CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
dc.subject.eng.fl_str_mv Job Shop Scheduling
GRASP
Tabu Search
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
description This work approaches the problem of the tasks scheduling (Job Shop Scheduling) through the combination of the GRASP and Tabu Search metaheuristics. The study consists of using the GRASP (Greedy Randomized Adaptive Search Procedure) in the construction phase of the initial solution, suggesting for that, a specific procedure based on Coffman Gramah algorithm. However, such procedure was the great differential in this study, since it offers an initial solution qualitatively better, what allows the reduction of the local search time, where it was utilized the Tabu Search metaheuristic in the local search phase, which provided best results when it was compared with other metaheuristics that have the same structural base. The combination GRASP and Tabu Search were evaluated under two differentiated implementations, being one with Tabu Search in its form more simplified and another one with Tabu Search developing a process of optimized search, using an aditional mathematical model, which demonstrated great advancements in relation at processing time and the obtained results. The computational results, when compared with the existing ones in literature, they had shown that GRASP and Tabu Search combination are capable to produce good solutions.
publishDate 2010
dc.date.issued.fl_str_mv 2010-07-16
dc.date.available.fl_str_mv 2012-01-19
2018-07-21T00:14:19Z
dc.date.accessioned.fl_str_mv 2015-05-14T12:36:29Z
2018-07-21T00:14:19Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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status_str publishedVersion
dc.identifier.citation.fl_str_mv CUNHA, Cláudia Rossana. Metaheurística Híbrida GRASP e Busca Tabu Aplicada ao Problema de Escalonamento de Tarefas. 2010. 67 f. Dissertação (Mestrado em Informática) - Universidade Federal da Paraí­ba, João Pessoa, 2010.
dc.identifier.uri.fl_str_mv https://repositorio.ufpb.br/jspui/handle/tede/6055
identifier_str_mv CUNHA, Cláudia Rossana. Metaheurística Híbrida GRASP e Busca Tabu Aplicada ao Problema de Escalonamento de Tarefas. 2010. 67 f. Dissertação (Mestrado em Informática) - Universidade Federal da Paraí­ba, João Pessoa, 2010.
url https://repositorio.ufpb.br/jspui/handle/tede/6055
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dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Universidade Federal da Paraí­ba
dc.publisher.program.fl_str_mv Programa de Pós Graduação em Informática
dc.publisher.initials.fl_str_mv UFPB
dc.publisher.country.fl_str_mv BR
dc.publisher.department.fl_str_mv Informática
publisher.none.fl_str_mv Universidade Federal da Paraí­ba
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