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Application of a Bilevel Programming Model in Disposal Site Selection for Hazardous Waste

机译:双纤维编程模型在危险废物处理场所选择中的应用

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In this study, a bilevel programming model is proposed for a multiple decision-subject location-routing problem of hazardous waste (HW) under a fuzzy random environment to select the best HW disposal centers. In this proposed model, the objective of the upper level decision makers is to select the best location of HW disposal centers to minimize total costs and risk loss, while the goal of followers is to select an optimal HW disposal center to minimize transportation costs. However, the amount of HW generated is difficult to estimate, so we consider the amount of HW generated as a fuzzy random parameter in this article. Then, we developed a binary particle swarm optimization based on fuzzy random simulation (FRS) to address the proposed model, and a case study was applied to verify the effectiveness and feasibility of the proposed model and algorithm. Therefore, some interesting findings are obtained: (i) the results show that the bilevel programming model is suitable for such problems; (ii) the bilevel programming model proposed herein is flexible, and the parameters can be adjusted to meet different requirements; and (iii) the comparison between binary particle swarm optimization (PSO) based on FRS and classical PSO further illustrates the advantages of the proposed algorithm. Moreover, due to the flexibility of the proposed method, the proposed bilevel programming model in this article can be applied to other similar research problems.
机译:在该研究中,提出了一种偏离诸如模糊的随机环境下有危险废物(HW)的多决定主题定位问题的偏离编程模型,以选择最佳的HW处理中心。在这个提出的模型中,上层决策者的目标是选择HW处理中心的最佳位置,以最大限度地降低总成本和风险损失,而追随者的目标是选择最佳的HW处置中心,以最大限度地减少运输成本。然而,产生的HW量难以估计,因此我们认为在本文中将生成的HW量作为模糊随机参数所产生的。然后,我们开发了基于模糊随机仿真(FRS)的二进制粒子群优化来解决所提出的模型,并应用案例研究来验证所提出的模型和算法的有效性和可行性。因此,获得了一些有趣的结果:(i)结果表明,贝芯编程模型适用于这些问题; (ii)本文提出的双纤维编程模型是灵活的,可以调整参数以满足不同的要求; (iii)基于FRS和古典PSO的二元粒子群优化(PSO)之间的比较进一步说明了所提出的算法的优点。此外,由于所提出的方法的灵活性,本文中所提出的Bilevel编程模型可以应用于其他类似的研究问题。

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