A Parallel Evolutionary Algorithm for the Vehicle Routing Problem with Heterogeneous Fleet

نویسندگان

  • Luiz Satoru Ochi
  • Dalessandro Soares Vianna
  • Lúcia Maria de A. Drummond
  • André O. Victor
چکیده

Nowadays genetic algorithms stand as a trend to solve NPcomplete and NP-hard problems. In this paper, we present a new hybrid metaheuristic which uses Parallel Genetic Algorithms and Scatter Search coupled with a decomposition-into-petals procedure for solving a class of Vehicle Routing and Scheduling Problems. The parallel genetic algorithm presented is based on the island model and was run on a cluster of workstations. Its performance is evaluated for a heterogeneous eet problem, which is considered a problem much harder to solve than the homogeneous vehicle routing problem.

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عنوان ژورنال:
  • Future Generation Comp. Syst.

دوره 14  شماره 

صفحات  -

تاریخ انتشار 1998