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A metaheuristic for the multiple minimum latency problem with the min-max objective

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  • Ha-Bang Ban

Abstract

The multiple minimum latency problem with the min-max objective (mMLPMM) is an extension of the multiple minimum latency problem (mMLP). The mMLPMM requires to find a tour that aims to equally distribute the latency among routes by minimising the maximum route latency. To solve medium and large size instances, an effective metaheuristic algorithm is introduced, which combines greedy randomised adaptive search procedure (GRASP) for an initial solution construction, and general variable neighbourhood search (GVNS) for solution improvement. The proposed algorithm is tested on the benchmark instances derived from the literature. The results indicate that the GRASP-GVNS can produce efficient and effective solutions for the mMLPMM at a reasonable computation time.

Suggested Citation

  • Ha-Bang Ban, 2023. "A metaheuristic for the multiple minimum latency problem with the min-max objective," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 48(4), pages 529-561.
    • Handle: RePEc:ids:ijores:v:48:y:2023:i:4:p:529-561
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