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The continuous p-centre problem: An investigation into variable neighbourhood search with memory

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  • Elshaikh, Abdalla
  • Salhi, Said
  • Nagy, Gábor

Abstract

A VNS-based heuristic using both a facility as well as a customer type neighbourhood structure is proposed to solve the p-centre problem in the continuous space. Simple but effective enhancements to the original Elzinga–Hearn algorithm as well as a powerful ‘locate–allocate’ local search used within VNS are proposed. In addition, efficient implementations in both neighbourhood structures are presented. A learning scheme is also embedded into the search to produce a new variant of VNS that uses memory. The effect of incorporating strong intensification within the local search via a VND type structure is also explored with interesting results. Empirical results, based on several existing data set (TSP-Lib) with various values of p, show that the proposed VNS implementations outperform both a multi-start heuristic and the discrete-based optimal approach that use the same local search.

Suggested Citation

  • Elshaikh, Abdalla & Salhi, Said & Nagy, Gábor, 2015. "The continuous p-centre problem: An investigation into variable neighbourhood search with memory," European Journal of Operational Research, Elsevier, vol. 241(3), pages 606-621.
  • Handle: RePEc:eee:ejores:v:241:y:2015:i:3:p:606-621
    DOI: 10.1016/j.ejor.2014.10.006
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    References listed on IDEAS

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    Cited by:

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