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Nearest greedy for solving the waste collection vehicle routing problem: A case study

机译:最接近解决废物收集车道路由问题的贪婪:一个案例研究

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This paper presents a real case study pertaining to an issue related to waste collection in the northern part of Malaysia by using a constructive heuristic algorithm known as the Nearest Greedy (NG) technique. This technique has been widely used to devise initial solutions for issues concerning vehicle routing. Basically, the waste collection cycle involves the following steps: i) each vehicle starts from a depot, ii) visits a number of customers to collect waste, iii) unloads waste at the disposal site, and lastly, iv) returns to the depot. Moreover, the sample data set used in this paper consisted of six areas, where each area involved up to 103 customers. In this paper, the NG technique was employed to construct an initial route for each area. The solution proposed from the technique was compared with the present vehicle routes implemented by a waste collection company within the city. The comparison results portrayed that NG offered better vehicle routes with a 11.07% reduction of the total distance traveled, in comparison to the present vehicle routes.
机译:本文通过使用称为最近的贪婪(NG)技术的建设性启发式算法,呈现出与马来西亚北部的废物收集有关的实际研究。该技术已被广泛用于设计有关车辆路由问题的初始解决方案。基本上,废物收集周期涉及以下步骤:i)每辆车从仓库开始,ii)访问许多客户收集废物,iii)在处理现场卸载废物,最后,iv)返回仓库。此外,本文中使用的样本数据集包括六个区域,每个区域涉及103个客户。在本文中,采用NG技术构建每个区域的初始路线。将从该技术提出的解决方案与城市内的废物收集公司实施的本车途径进行了比较。与目前的车辆路线相比,比较结果表明NG提供了11.07%的距离减少了11.07%的总距离。

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