Um GRASP eficiente para Problemas de Roteamento de uma Frota de Veículos

Authors

  • A. Tortelly Jr.
  • L.S. Ochi

DOI:

https://doi.org/10.5540/tema.2006.07.01.0149

Abstract

Apresentamos neste artigo, uma nova metaheurística híbrida baseada em conceitos de Greedy Randomized Adaptive Search Procedure (GRASP) e Busca Tabu (BT) para a solução do Problema de Roteamento Periódico de Veículos (PRPV). A busca local do algoritmo GRASP é efetuada através de um procedimento BT incorporando estratégias de intensificação e diversificação. Resultados computacionais obtidos de conjuntos de instâncias da literatura mostram que o algoritmo proposto é altamente competitivo quando comparado com as heurísticas e metaheuristicas existentes para o PRPV.

References

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Published

2006-06-01

How to Cite

Tortelly Jr., A., & Ochi, L. (2006). Um GRASP eficiente para Problemas de Roteamento de uma Frota de Veículos. Trends in Computational and Applied Mathematics, 7(1), 149–158. https://doi.org/10.5540/tema.2006.07.01.0149

Issue

Vol. 7 No. 1 (2006)

Section

Original Article

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