基于遗传算法的城市生活垃圾中转站选址问题研究

摘要

In this paper, starting from the characteristics of the centralized urban trash treatment system, we built the transfer station location model based on the reverse logistics network with multiple objectives, adopted the genetic algorithm based multi-objective evolutionary algorithm to solve it, and at the end, verified the result through an empirical case.%主要针对和城市居民生活息息相关的垃圾处理问题展开研究，从城市垃圾处理集运系统的特点出发，构建了多目标情况下的基于逆向物流网络的中转站选址模型，并采用基于遗传算法的多目标进化算法对模型进行求解，最后通过实际算例对模型及算法进行求证，为城市垃圾处理集运决策提供理论支持。