Study on site selection of municipal solid waste incineration plant based on swarm optimization algorithm

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.

Automated summary

This paper proposes an improved swarm optimization algorithm and applies it to the site selection model of a municipal solid waste incineration plant. The results show that the algorithm performs well in the verification of single and multi-peak functions.