Pareto mimic algorithm: An approach to the team orienteering problem

Liangjun Ke, Laipeng Zhai, Jing Li and Felix T.S. Chan

Omega, 2016, vol. 61, issue C, 155-166

Abstract: The team orienteering problem is an important variant of the vehicle routing problem. In this paper, a new algorithm, called Pareto mimic algorithm, is proposed to deal with it. This algorithm maintains a population of incumbent solutions which are updated using Pareto dominance. It uses a new operator, called mimic operator, to generate a new solution by imitating an incumbent solution. Furthermore, to improve the quality of a solution, it employs an operator, called swallow operator which attempts to swallow (or insert) an infeasible node and then repair the resulting infeasible solution. A comparative study supports the effectiveness of the proposed algorithm, especially, our algorithm can quickly find new better results for several large-scale instances. We also demonstrate that Pareto mimic algorithm can be generalized to solve other routing problems, e.g., the capacitated vehicle routing problem.

Keywords: Vehicle scheduling; Vehicle routing problem; Team orienteering problem; Pareto dominance (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (14)

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DOI: 10.1016/j.omega.2015.08.003

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