Journal
WASTE MANAGEMENT & RESEARCH
Volume 40, Issue 2, Pages 205-217Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/0734242X20981619
Keywords
Garbage collection; MSW incineration plant; site selection model; swarm optimization algorithm; particle swarm optimization; whale optimization algorithm
Categories
Funding
- Liaoning Provincial Education Department's Service Local Project Team [2020FWDF04]
- Shandong Key Laboratory of Intelligent Buildings Technology [SDIBT202002]
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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.
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.
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