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Genetic Algorithm for Waste Transportation Route in Eastern Bandung (Case Study: PD. Kebersihan Kota Bandung)

机译:东风余量路线遗传算法(案例研究:PD。Kebersihan Kota Bandung)

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VRP highly close related with distance and cost minimization. PD. Kebersihan Kota Bandung has been facing one of the problem related with vehicle routing since this company has not have a fixed route for waste transportation because of their limited vehicle used and it will cost them a lot more if they have to add more vehicle to handle this. Therefore, research on VRP for this case has been done especially in West Bandung Region to find a better solution to reduce total distances and cost in which the company have to pay out. Method used to solve this problem is Genetic Algorithm with Clarke and Wright Saving used first to find initial solution. Genetic Algorithm is problem independent, it means that it can solve a lot of problems in a different field and still have probability to keep continuing to find the best solution including global search. Based on researh that has been done, there are three route with three trucks created with total volume for each vehicle on those route which are 7,053 m3, 6,753 m3, and 6,903 m3 with total distance 65,33 km.
机译:VRP与距离和成本最小化高度密切相关。 PD。 Kebersihan Kota Bandung一直面临着与车辆路线相关的问题之一,因为由于其使用的车辆有限,这家公司没有固定的废物运输路线,如果他们必须增加更多车辆来处理这一点。因此,对这种情况的VRP研究尤其是在西万隆地区完成了更好的解决方案,以减少公司必须支付的总距离和成本。用于解决此问题的方法是遗传算法与克拉克和赖特保存首先用于找到初始解决方案。遗传算法是问题独立的,这意味着它可以解决不同领域的大量问题,并且仍然具有继续继续寻找包括全球搜索的最佳解决方案的概率。基于已经完成的间歇性,有三种路线,其中每辆车总量为每辆车的总体积为7,053 M3,6,753 M3和6,903 M3,总距离为65,33公里。

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