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A bi-level multi-objective location-routing model for municipal waste management with obnoxious effects

机译:讨厌效应的城市废物管理双层多目标定位路由模型

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摘要

Municipal waste management is a complex problem. This paper develops a bi-level multi-objective location-routing model for municipal waste management that considers the interests of both the government and the sanitation companies. The government as the leader decides on the location and scale of the waste recycling centers to reduce the obnoxious effects and ensure cost effectiveness, and the sanitation company as the follower decides on the waste collection routing plans based on the government-approved locations to minimize the logistics cost. An improved hybrid NSGA-II is then developed to solve the proposed model. Two initial solution methods are employed: clustering for the leader and a Clarke and Wright method for the follower. Non-dominated sorting and best-cost route crossover operator are used to improve the effectiveness of NSGA-II. Based on Prins (24 instances) and Barreto (13 instances) benchmarks, the experimental results indicated that the improved operator had strong competitiveness and a better performance than previous methods, with the improved algorithm achieving the best average gaps of 0.18% and 0.24% and improving the best-known solutions in some instances. The model and solution methodology are illustrated using a waste collection problem in Tianjin, from which practical insights are derived.
机译:市政废物管理是一个复杂的问题。本文为市政废物管理制定了一款双级多目标定位型号,以期考虑了政府和卫生公司的利益。政府作为领导者决定废物回收中心的位置和规模,以减少讨厌的效果,确保成本效益,而卫生公司作为追随者决定基于政府核准的地点的废物收集路线计划,以最大限度地减少物流成本。然后开发出改进的混合NSGA-II以解决所提出的模型。采用了两种初始解决方案方法:为追随者的领导者和克拉克和克拉克的聚类。非主导的排序和最佳成本路径交叉操作员用于提高NSGA-II的有效性。基于原装(24个实例)和BARTOO(13实例)基准,实验结果表明,改进的操作员具有强大的竞争力和比以前的方法更好的性能,具有改进的算法,实现了0.18%和0.24%的最佳平均差距。在某些情况下提高最着名的解决方案。使用天津的废物收集问题来说明模型和解决方案方法,从中获得了实际见解。

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