In this paper, based on an improved swarm optimization algorithm, a new site selection model of a municipal solid waste (MSW) incineration plant is proposed. First, the whale optimization algorithm and particle swarm optimization algorithm are combined according to certain rules to improve the performance of the hybrid algorithm. Through a verification of the single and multi-peak functions, the results show that the algorithm achieves a good performance. The location model of the MSW incineration plant is based on many factors, including the economy, environmental protection, population scale, and operation cost. Finally, based on a sample analysis, a new location model of an MSW incineration plant is used to select the location of an Anshan MSW incineration plant, and a reasonable location is obtained.

在本文中，基于改进的群体优化算法，提出了一种新的城市固体废物（MSW）焚烧厂选址模型。首先，将鲸鱼优化算法和粒子群优化算法按照一定的规则组合起来，提高混合算法的性能。通过对单峰和多峰函数的验证，结果表明该算法取得了良好的性能。城市生活垃圾焚烧厂选址模型基于经济、环保、人口规模、运营成本等诸多因素。最后，在样本分析的基础上，采用新的垃圾焚烧厂选址模型对鞍山垃圾焚烧厂的选址进行了选址，得到了合理的选址。