Publicação
Comparative analysis on approximation algorithms for the resource constrained project scheduling problem
| Resumo: | In Resource Constrained Project Scheduling Problem (RCPSP) exact algorithms can only solve small instances, and several approximation algorithms have been proposed that can solve large instances with a quasi-optimal solution. So far there is no comparative analysis of several algorithms running on the same machine, with equal time limit and large instances; this is our main goal. A new performance indicator is proposed that is not affected by the presence of simple problems in the instance set. The instance set was built by assembling the main sets in the literature and also JobShop and FlowShop instances transformed to RCPSP. In this work 30 meta-heuristics were implemented, obtaining a total of 159.364.665 solutions evaluated of RCPSP. |
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| Autores principais: | Coelho, José |
| Outros Autores: | Valadares, Luis Tavares |
| Assunto: | RCPSP Comparative analysis Performance indicator |
| Ano: | 2002 |
| País: | Portugal |
| Tipo de documento: | documento de conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Aberta |
| Idioma: | inglês |
| Origem: | Repositório Aberto da Universidade Aberta |
| Resumo: | In Resource Constrained Project Scheduling Problem (RCPSP) exact algorithms can only solve small instances, and several approximation algorithms have been proposed that can solve large instances with a quasi-optimal solution. So far there is no comparative analysis of several algorithms running on the same machine, with equal time limit and large instances; this is our main goal. A new performance indicator is proposed that is not affected by the presence of simple problems in the instance set. The instance set was built by assembling the main sets in the literature and also JobShop and FlowShop instances transformed to RCPSP. In this work 30 meta-heuristics were implemented, obtaining a total of 159.364.665 solutions evaluated of RCPSP. |
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