An efficiency-based path-scanning heuristic for the capacitated arc routing problem
Rafael Kendy Arakaki, Fábio Luiz Usberti
ARTIGO
Inglês
Agradecimentos: This work was supported by grants #2016/00315-0, São Paulo Research Foundation (FAPESP) and 307472/2015-9, National Counsel of Technological and Scientific Development (CNPq). Also, we would like to thank the anonymous referees for their helpful comments
Abstract: The capacitated arc routing problem (CARP) is an important combinatorial optimization problem that has been extensively studied in the last decades. The objective is to optimize routes that service demands located on the edges of a graph, given a fleet of homogeneous vehicles with limited...
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Abstract: The capacitated arc routing problem (CARP) is an important combinatorial optimization problem that has been extensively studied in the last decades. The objective is to optimize routes that service demands located on the edges of a graph, given a fleet of homogeneous vehicles with limited capacity that starts and ends its routes at a specific node (depot). This work proposes a new path-scanning heuristic for the CARP which introduces the concept of efficiency rule. Given the current vehicle location, its traversed distance and the amount of serviced demand, the efficiency rule selects the most promising edges to service next. Computational experiments conducted on a set of benchmark instances reveal that the proposed heuristic substantially outperformed all previous path-scanning heuristics from literature
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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ
307472/2015-9
FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP
2016/00315-0
Fechado
An efficiency-based path-scanning heuristic for the capacitated arc routing problem
Rafael Kendy Arakaki, Fábio Luiz Usberti
An efficiency-based path-scanning heuristic for the capacitated arc routing problem
Rafael Kendy Arakaki, Fábio Luiz Usberti
Fontes
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Computers and operations research (Fonte avulsa) |