基于二层多目标优化模型的重庆主城区垃圾分类回收模式探讨

Discussion on the Mode of Garbage Classification and Recycling in Chongqing City Based on Bilevel Multiobjective Optimization Model

针对重庆主城区生活垃圾分类投放现状,在普惠型奖惩机制理念下建立了垃圾分类回收的一个二层多目标优化模型。该模型在提高居民垃圾分类投放比率、降低温室气体排放量和政府经济成本的基础上,为政府部门确定设备选址、设定奖惩金额等提供了量化依据。本文利用交互式满意度方法,提出了二层多目标优化模型的一个松弛模型,进而设计出求解二层多目标优化模型的混沌遗传算法。最后以重庆某主城小区为例,提供了具体的奖惩措施以及选址参考,具有现实意义。

According to the current situation of domestic waste classification in the main urban area of Chongqing, a bi-level multi-objective optimization model for garbage sorting and recycling is established under the concept of inclusive reward and punishment mechanism. The model can improve the ratio of household waste classification and release, reduce greenhouse gas emissions and government economic costs, and provide quantitative basis for government departments to determine the location of equipment and set the reward and punishment amount. By using the interactive satisfactory method, a relaxed model of bi-level multiobjective optimization is proposed in this paper, and then we construct a chaotic genetic algorithm to solve the bi-level multi-objective optimization model. Finally, taking a main urban district in Chongqing as an example, the paper provides specific reward and punishment measures and site selection reference, which has practical significance.