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A New Hybrid Path Relinking Algorithm for the Vehicle Routing Problem

机译:车辆路径问题的一种新的混合路径重新链接算法

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This paper presents a new hybrid path relinking algorithm called ACO&PR algorithm to solve the vehicle routing problem. Ant colony optimization (ACO) is a meta heuristic approach, which simulates the decisionmaking processes of ant colonies as they forage for food and find the most efficient routes from their nests to food sources. Due to its constructive nature, we hybridize the solution construction mechanism of ACO with path relinking (PR), an evolutionary method, which introduces progressively attributes of the guiding solution into the initial solution to obtain the high quality solution as quickly as possible. The experimental results for benchmark VRP instances have shown that our proposed method is competitive to solve the vehicle routing problem compared with the best existing methods in terms of solution quality.
机译:本文提出了一种新的混合路径重新链接算法,称为ACO&PR算法,以解决车辆路径问题。蚁群优化(ACO)是一种元启发式方法,它在觅食时模拟蚁群的决策过程,并寻找从巢穴到食物来源的最有效路线。由于其构造性,我们将ACO的解决方案构建机制与一种进化方法-路径重新链接(PR)进行了混合,该方法将引导解决方案的属性逐步引入初始解决方案中,以便尽快获得高质量的解决方案。基准VRP实例的实验结果表明,与现有的最佳解决方案质量相比,我们提出的方法在解决车辆路径问题方面具有竞争力。

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