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Vehicle-Routing Optimization for Municipal Solid Waste Collection Using Genetic Algorithm: The Case of Southern Nablus City

机译:基于遗传算法的城市生活垃圾收集车辆路径优化-以南纳布卢斯市为例

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Municipalities are responsible for solid waste collectiont for environmental, social and economic purposes. Practices of municipalities should be effective and efficient, with the objectives of reducing the total incurred costs in the solid waste collection network concurrently achieving the highest service level. This study aims at finding the best routes of solid waste collection network in Nablus city-Palestine. More specifically, the study seeks the optimal route that minimizes the total travelled distance by the trucks and hence the resulted costs. The current situation is evaluated and the problem is modelled as a Vehicle Routing Problem (VRP). The VRP is then optimized via a genetic algorithm. Specifically, compared to the current situation, the trucks total travelled distance was reduced by 66%, whereas the collection time was reduced from 7 hours per truck-trip to 2.3 hours. The findings of this study is useful for all municipality policy makers that are responsible for solid waste collection.
机译:市政当局负责为环境,社会和经济目的收集固体废物。各市政当局的做法应是有效和高效的,其目标是减少固体废物收集网络中的总费用,同时达到最高服务水平。这项研究旨在寻找纳布卢斯市-巴勒斯坦固体废物收集网络的最佳途径。更具体地说,该研究寻求一种最佳路线,该路线可将卡车的总行驶距离减至最小,并因此将成本降到最低。对当前情况进行评估,并将问题建模为车辆路径问题(VRP)。然后通过遗传算法对VRP进行优化。具体而言,与当前情况相比,卡车的总行驶距离减少了66%,而收集时间从每次卡车旅行的7小时减少到2.3小时。这项研究的结果对所有负责收集固体废物的市政政策制定者都是有用的。

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