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Discrete particle swarm optimization for the team orienteering problem

机译:针对团队定向运动问题的离散粒子群优化

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In this paper, a novel discrete particle swarm optimization(PSO) algorithm is proposed to solve the team orienteering problem(TOP). Discrete evaluation is achieved by redefining all operatorsand operands used in PSO. To obtain better results, a strengthenedPSO, which improves both exploration and exploitation during thesearch process, is employed. Our algorithm achieves the best knownsolutions in a short time compared to previous heuristics for the TOP.
机译:提出了一种新颖的离散粒子群算法(PSO)来解决团队定向运动问题(TOP)。通过重新定义PSO中使用的所有运算符和操作数来实现离散评估。为了获得更好的结果,采用了一种增强的PSO,它可以改善搜索过程中的勘探和开发。与先前的TOP启发式算法相比,我们的算法可在短时间内获得最佳已知解决方案。

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