Agosto 2016 vol. 2 num. 1 - XVIII Simpósio de Pesquisa Operacional & Logística da Marinha

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UMA ABORDAGEM BASEADA EM ITERATED LOCAL SEARCH PARA O PROBLEMA DE ESCALONAMENTO EM PROJETOS COM RESTRIÇÃO EM RECURSOS E MÚLTIPLOS MODOS DE EXECUÇÃO

Fernandes, Gustavo Alves ; Souza, Sérgio Ricardo de ; França Filho, Moacir Felizardo de ;

Artigo Completo:

Nesse artigo, considera-se o Problema não Preemptivo de Escalonamento em Projetos com Restrição em Recursos e Múltiplos Modos de Execução para a minimização do makespan. Para solucionar esse problema, foi proposta a metaheurística Iterated Local Search (ILS). O método de Descida de Primeira Melhora é a busca local para o ILS, porém, essa busca é realizada em dois estágios, busca por modos de execução e, após, busca por atividade. Os resultados obtidos, para um grupo de instâncias entre 3 classes de problemas da PSPLIB, mostraram que a abordagem proposta foi capaz de encontrar boas soluções em tempo aceitável.

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Palavras-chave: Escalonamento de Projetos; Otimização Combinatória; Metaheurística; Iterated Local Search,

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DOI: 10.5151/marine-spolm2015-141100

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Como citar:

Fernandes, Gustavo Alves; Souza, Sérgio Ricardo de; França Filho, Moacir Felizardo de; "UMA ABORDAGEM BASEADA EM ITERATED LOCAL SEARCH PARA O PROBLEMA DE ESCALONAMENTO EM PROJETOS COM RESTRIÇÃO EM RECURSOS E MÚLTIPLOS MODOS DE EXECUÇÃO", p. 885-895 . In: Anais do XVIII Simpósio de Pesquisa Operacinal & Logística da Marinha. São Paulo: Blucher, 2016.
ISSN 2175-6295, ISBN: 2358-5498
DOI 10.5151/marine-spolm2015-141100

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