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Optimization of Urban Waste Transportation Route Based on Genetic Algorithm

Authors :
Yanling Zhang
Xu Luo
Xiaoxuan Han
Yongxing Lu
Jiacheng Wei
Chunyu Yu
Source :
Security and Communication Networks.
Publication Year :
2022
Publisher :
Hindawi, 2022.

Abstract

Under the normal conditions of the new economy, people’s living standards have improved; the amount of urban domestic waste has increased suddenly; and the differentiation of waste has become more and more complicated. However, the garbage transportation method at this stage has been difficult to meet the needs of reality. Therefore, it is particularly urgent to reform the original and simple treatment methods and adopt the latest and more reasonable garbage transportation. The urban waste transportation route optimization described in this article is quite complicated in the specific problems faced in the optimization of the urban domestic waste transportation route. This paper proposes to combine computer science to study the system optimization model and combine information management and other disciplines to develop and apply research on the dynamic management software of urban waste logistics systems. In the modern service industry, logistics occupies an important position. The optimization of urban waste transportation routes based on genetic algorithms also promotes the development of high-end modern service industries and is an important task to promote urban development and maintained hygiene and improve the healthcare of the citizens. The optimization of urban waste transportation routes is conducive to creating a clean and tidy urban environment.

Details

Language :
English
ISSN :
19390114
Database :
OpenAIRE
Journal :
Security and Communication Networks
Accession number :
edsair.doi.dedup.....a0098e139b2cfd17e1270bab2252316f
Full Text :
https://doi.org/10.1155/2022/8337653