禁忌搜索在OVRP问题求解中的应用

A. Hedar, M. Abdallah
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引用次数: 3

摘要

在开放式车辆路径问题(OVRP)中,目标是在减少整个行驶距离(或时间)后减少车辆数量。每条路线都从仓库开始,在一个客户处结束,途中每次都要去很多客户,而不需要返回仓库。每一位顾客的需求都必须完全由一辆车来满足。每辆车的总需求不能超过车辆容量。针对该问题,提出了一种高效的开放式车辆路径禁忌搜索方法——三策略禁忌搜索启发式算法。TSTS依赖于三种策略:MOVE、EXCHANGE和SWAP。在14个标准基准问题实例上的计算结果表明,建议的TSTS在解决方案质量方面与表现最好的已发表启发式方法相当。
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Applying Tabu Search in Finding an Efficient Solution for the OVRP
In the open vehicle routing problem (OVRP), the target would be to reduce the amount of vehicles after reducing the whole distance (or time) travelled. Every route begins at the depot and comes to an end at a customer, going to many customers, every once, en route, without returning to the depot. The demand of every customer has to be completely fullled by a single vehicle. The total demand serviced by each vehicle has to not go over vehicle capacity. A highly eective tabu search for open vehicle routing called Three Strategies Tabu Search (TSTS) heuristic for this problem is suggested. The TSTS depends on three strategies MOVE, EXCHANGE and SWAP. Computational results on fourteen standard benchmark problem instances demonstrate that the suggested TSTS is comparable in terms of solution quality for the best performing published heuristics.
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