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An iterative three-component heuristic for the team orienteering problem with time windows

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  • Hu, Qian
  • Lim, Andrew

Abstract

This paper studies the team orienteering problem with time windows, the aim of which is to maximize the total profit collected by visiting a set of customers with a limited number of vehicles. Each customer has a profit, a service time and a time window. A service provided to any customer must begin in his or her time window. We propose an iterative framework incorporating three components to solve this problem. The first two components are a local search procedure and a simulated annealing procedure. They explore the solution space and discover a set of routes. The third component recombines the routes to identify high quality solutions. Our computational results indicate that this heuristic outperforms the existing approaches in the literature in average performance by at least 0.41%. In addition, 35 new best solutions are found.

Suggested Citation

  • Hu, Qian & Lim, Andrew, 2014. "An iterative three-component heuristic for the team orienteering problem with time windows," European Journal of Operational Research, Elsevier, vol. 232(2), pages 276-286.
    • Handle: RePEc:eee:ejores:v:232:y:2014:i:2:p:276-286
    DOI: 10.1016/j.ejor.2013.06.011
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    6. Aldy Gunawan & Hoong Chuin Lau & Pieter Vansteenwegen & Kun Lu, 2017. "Well-tuned algorithms for the Team Orienteering Problem with Time Windows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(8), pages 861-876, August.
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