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A simulated annealing heuristic for the team orienteering problem with time windows

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  • Lin, Shih-Wei
  • Yu, Vincent F.

Abstract

This paper presents a simulated annealing based heuristic approach for the team orienteering problem with time windows (TOPTW). Given a set of known locations, each with a score, a service time, and a time window, the TOPTW finds a set of vehicle tours that maximizes the total collected scores. Each tour is limited in length and a visit to a location must start within the location’s service time window. The proposed heuristic is applied to benchmark instances. Computational results indicate that the proposed heuristic is competitive with other solution approaches in the literature.

Suggested Citation

  • Lin, Shih-Wei & Yu, Vincent F., 2012. "A simulated annealing heuristic for the team orienteering problem with time windows," European Journal of Operational Research, Elsevier, vol. 217(1), pages 94-107.
    • Handle: RePEc:eee:ejores:v:217:y:2012:i:1:p:94-107
    DOI: 10.1016/j.ejor.2011.08.024
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    9. Zhang, Shu & Ohlmann, Jeffrey W. & Thomas, Barrett W., 2020. "Multi-period orienteering with uncertain adoption likelihood and waiting at customers," European Journal of Operational Research, Elsevier, vol. 282(1), pages 288-303.
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    14. Damianos Gavalas & Charalampos Konstantopoulos & Konstantinos Mastakas & Grammati Pantziou, 2019. "Efficient Cluster-Based Heuristics for the Team Orienteering Problem with Time Windows," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(01), pages 1-44, February.
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