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Estatística
Título: A HYBRID IMPROVEMENT HEURISTICS FOR THE BIN PACKING PROBLEM AND ITS APPLICATION TO THE PROBLEM OF TASK SCHEDULING
Autor: ADRIANA CESARIO DE FARIA ALVIM
Colaborador(es): CELSO DA CRUZ CARNEIRO RIBEIRO - Orientador
Catalogação: 09/JAN/2004 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: THESIS
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=4364&idi=1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=4364&idi=2
DOI: https://doi.org/10.17771/PUCRio.acad.4364
Resumo:
We propose in this work a hybrid improvement procedure for the bin packing problem. This heuristic has several components: lower and upper bounds; reductions, construction of initial solutions by reference to the dual problem;heuristics for load redistribution based on dominance, differencing, and unbalancing; and tabu search. We also investigate the application of this hybrid heuristic to the problem of task scheduling on identical parallel processors. Computational results on hundreds of benchmark test problem are presented.
Descrição: Arquivo:   
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CHAPTER 1 PDF    
CHAPTER 2 PDF    
CHAPTER 3 PDF    
CHAPTER 4 PDF    
CHAPTER 5 PDF    
CHAPTER 6 PDF    
BIBLIOGRAPHY AND ANNEX PDF