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Column generation based heuristics for a generalized location routing problem with profits arising in space exploration

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  • Ahn, Jaemyung
  • de Weck, Olivier
  • Geng, Yue
  • Klabjan, Diego

Abstract

The generalized location routing problem with profits is a new routing problem class that combines the vehicle routing problem with profits, depot or base selection, and the notion of strategies and route tactics to be employed at selected bases. The problem simultaneously determines base locations, strategies to use at the bases, sites to visit, and routes to carry out the visits, to maximize the sum of profits that can be obtained by visiting sites, under resource consumption constraints. The problem arises in exploration of planetary bodies where strategies correspond to different technologies. A description of the generalized location routing problem with profits and its mathematical formulation as an integer program are provided. Two solution methodologies to solve the problem – branch-and-price and a three-phase heuristic method combined with a generalized randomized adaptive search procedure – are proposed. Numerical experiments for the two solution methodologies are carried out. Their performance in terms of computation time and optimality gap are analyzed and compared to establish the problem characteristics, indicating which method is more advantageous.

Suggested Citation

  • Ahn, Jaemyung & de Weck, Olivier & Geng, Yue & Klabjan, Diego, 2012. "Column generation based heuristics for a generalized location routing problem with profits arising in space exploration," European Journal of Operational Research, Elsevier, vol. 223(1), pages 47-59.
    • Handle: RePEc:eee:ejores:v:223:y:2012:i:1:p:47-59
    DOI: 10.1016/j.ejor.2012.06.018
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    Cited by:

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    3. Daniel Negrotto & Irene Loiseau, 2021. "A Branch & Cut algorithm for the prize-collecting capacitated location routing problem," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(1), pages 34-57, April.
    4. Oktay Yılmaz & Ertan Yakıcı & Mumtaz Karatas, 2019. "A UAV location and routing problem with spatio-temporal synchronization constraints solved by ant colony optimization," Journal of Heuristics, Springer, vol. 25(4), pages 673-701, October.
    5. Prodhon, Caroline & Prins, Christian, 2014. "A survey of recent research on location-routing problems," European Journal of Operational Research, Elsevier, vol. 238(1), pages 1-17.

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