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Solving the vehicle routing problem by a hybrid meta-heuristic algorithm

机译:用混合元启发式算法求解车辆路径问题

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The vehicle routing problem (VRP) is one of the most important combinational optimization problems that has nowadays received much attention because of its real application in industrial and service problems. The VRP involves routing a fleet of vehicles, each of them visiting a set of nodes such that every node is visited by exactly one vehicle only once. So, the objective is to minimize the total distance traveled by all the vehicles. This paper presents a hybrid two-phase algorithm called sweep algorithm (SW)?+?ant colony system (ACS) for the classical VRP. At the first stage, the VRP is solved by the SW, and at the second stage, the ACS and 3-opt local search are used for improving the solutions. Extensive computational tests on standard instances from the literature confirm the effectiveness of the presented approach.
机译:车辆路径问题(VRP)是最重要的组合优化问题之一,由于其在工业和服务问题中的实际应用,如今已引起广泛关注。 VRP涉及路由一组车队,每个车队访问一组节点,以便每个节点只能被一辆车访问一次。因此,目的是使所有车辆的总行驶距离最小化。本文针对经典的VRP提出了一种混合的两阶段混合算法,称为扫掠算法(SW)++蚁群系统(ACS)。在第一阶段,通过SW解决VRP,在第二阶段,使用ACS和3-opt本地搜索来改进解决方案。来自文献的标准实例的大量计算测试证实了所提出方法的有效性。

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