Revistes Publicacions URV: SORT - Statistics and Operations Research Transactions> 2014

Improving parametric Clarke and Wright algorithms by means of iterative empirically adjusted greedy heuristics

  • Identification data

    Identifier: RP:2405
    Handle: https://hdl.handle.net/20.500.11797/RP2405
    Authors:
    Pastor, RafaelGarcía-Villoria, AlbertoCorominas, Albert
    Abstract:
    Since Clarke and Wright proposed their well-known savings algorithm for solving the Capacitated Vehicle Routing Problem, several enhancements to the original savings formula have been recently proposed, in the form of parameterisations. In this paper we first propose to use Empirically Adjusted Greedy Heuristics to run these parameterized heuristics and we also consider the addition of new parameters. This approach is shown to improve the savings algorithms proposed in the literature. Moreover, we propose a new procedure which leads to even better solutions, based on what we call Iterative Empirically Adjusted Greedy Heuristics

  • Others:

    URV's Author/s: Pastor, Rafael García-Villoria, Alberto Corominas, Albert
    Keywords: EAGH-1, greedy heuristics, Clarke and Wright savings algorithm, CVRP
    Abstract: Since Clarke and Wright proposed their well-known savings algorithm for solving the Capacitated Vehicle Routing Problem, several enhancements to the original savings formula have been recently proposed, in the form of parameterisations. In this paper we first propose to use Empirically Adjusted Greedy Heuristics to run these parameterized heuristics and we also consider the addition of new parameters. This approach is shown to improve the savings algorithms proposed in the literature. Moreover, we propose a new procedure which leads to even better solutions, based on what we call Iterative Empirically Adjusted Greedy Heuristics
    Journal publication year: 2014
    Publication Type: info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article

  • Keywords:

    EAGH-1, greedy heuristics, Clarke and Wright savings algorithm, CVRP

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