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A hybrid heuristic based on GRASP and RVND metaheuristics for the prise-collecting covering tour problem

Author

Listed:
  • Glaubos Clímaco
  • Isabel Rosseti
  • Rogério Da Silva
  • Marcos Guerine

Abstract

The provision of social, medical, or legal assistance to communities geographically distant from large urban locations has been a concern of the various public, philanthropic or private entities. This concern led to the emergence of the prise-collecting covering tour problem (PCCTP), which seeks to find a tour for travelling teams that provide services to these communities. This work proposes a novel hybrid heuristic based on greedy randomised adaptive search procedure (GRASP) and random variable neighbourhood search (RVND) meta-heuristics for the purpose of solving the PCCTP. Computational experiments were conducted on a PCCTP benchmark from the literature, and the results demonstrate our approach provides a significant improvement in solving PCCTP and comparable with the state of the art, mainly regarding the computational processing time.

Suggested Citation

  • Glaubos Clímaco & Isabel Rosseti & Rogério Da Silva & Marcos Guerine, 2022. "A hybrid heuristic based on GRASP and RVND metaheuristics for the prise-collecting covering tour problem," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 41(3), pages 349-370.
    • Handle: RePEc:ids:ijlsma:v:41:y:2022:i:3:p:349-370
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