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An effective PSO-inspired algorithm for the team orienteering problem

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  • Dang, Duc-Cuong
  • Guibadj, Rym Nesrine
  • Moukrim, Aziz

Abstract

The Team Orienteering Problem (TOP) is a particular vehicle routing problem in which the aim is to maximize the profit gained from visiting customers without exceeding a travel cost/time limit. This paper proposes a new and fast evaluation process for TOP based on an interval graph model and a Particle Swarm Optimization inspired Algorithm (PSOiA) to solve the problem. Experiments conducted on the standard benchmark of TOP clearly show that our algorithm outperforms the existing solving methods. PSOiA reached a relative error of 0.0005% whereas the best known relative error in the literature is 0.0394%. Our algorithm detects all but one of the best known solutions. Moreover, a strict improvement was found for one instance of the benchmark and a new set of larger instances was introduced.

Suggested Citation

  • Dang, Duc-Cuong & Guibadj, Rym Nesrine & Moukrim, Aziz, 2013. "An effective PSO-inspired algorithm for the team orienteering problem," European Journal of Operational Research, Elsevier, vol. 229(2), pages 332-344.
    • Handle: RePEc:eee:ejores:v:229:y:2013:i:2:p:332-344
    DOI: 10.1016/j.ejor.2013.02.049
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    References listed on IDEAS

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