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A skewed general variable neighborhood search algorithm with fixed threshold for the heterogeneous fleet vehicle routing problem

Author

Listed:
  • Houda Derbel

    (MODILS, FSEGS)

  • Bassem Jarboui

    (Emirates College of Technology)

  • Rim Bhiri

    (MODILS, FSEGS)

Abstract

This article considers the heterogeneous fleet vehicle routing problem, as a variant of a well-known transportation problem: the vehicle routing problem. In order to solve this particular routing problem, a variable neighborhood search with a threshold accepting mechanism is developed and implemented. The performance of the algorithm was compared to other algorithms and tested on datasets from the available literature. Computational results show that our proposed algorithm is competitive and generates new best solutions.

Suggested Citation

  • Houda Derbel & Bassem Jarboui & Rim Bhiri, 2019. "A skewed general variable neighborhood search algorithm with fixed threshold for the heterogeneous fleet vehicle routing problem," Annals of Operations Research, Springer, vol. 272(1), pages 243-272, January.
    • Handle: RePEc:spr:annopr:v:272:y:2019:i:1:d:10.1007_s10479-017-2576-2
    DOI: 10.1007/s10479-017-2576-2
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    References listed on IDEAS

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    3. Subrat Sarangi & Sudipta Sarangi & Nasim S. Sabounchi, 2023. "How managerial perspectives affect the optimal fleet size and mix model: a multi-objective approach," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 1-23, March.

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