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A revisited branch-and-cut algorithm for large-scale orienteering problems

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  • Kobeaga, Gorka
  • Rojas-Delgado, Jairo
  • Merino, María
  • Lozano, Jose A.

Abstract

The orienteering problem is a route optimization problem which consists of finding a simple cycle that maximizes the total collected profit subject to a maximum distance limitation. In the last few decades, the occurrence of this problem in real-life applications has boosted the development of many heuristic algorithms to solve it. However, during the same period, not much research has been devoted to the field of exact algorithms for the orienteering problem. The aim of this work is to develop an exact method which is able to obtain the optimum in a wider set of instances than with previous methods, or to improve the lower and upper bounds in its disability.

Suggested Citation

  • Kobeaga, Gorka & Rojas-Delgado, Jairo & Merino, María & Lozano, Jose A., 2024. "A revisited branch-and-cut algorithm for large-scale orienteering problems," European Journal of Operational Research, Elsevier, vol. 313(1), pages 44-68.
    • Handle: RePEc:eee:ejores:v:313:y:2024:i:1:p:44-68
    DOI: 10.1016/j.ejor.2023.07.034
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    References listed on IDEAS

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