Analysis and Optimization of Garbage Removal System in Jiamusi City. Issue 1 (June 2020)

• Record Type: Journal Article
• Authors: Jia, Xiaoqian; Sun, Yanbin; Wen, Bin; Zhang, Yuehua; Guan, Jinqiu; Li, Lan
• Is Part Of: IOP conference series. Volume 526:Issue 1(2020)
• Publication Date: 2020-06
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/526/1/012022
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: With the development of the social environment, the amount of urban domestic garbage has increased rapidly, and garbage removal has become particularly important, which severely affects social-environmental resources. At present, the level of waste disposal Jiamusi City, far behind the rate of discharge of garbage, removal of garbage, and recycling efficiency is not high. To reduce environmental damage and waste of resources, it is necessary to improve the efficiency of waste removal and recycling. This paper analyses the current situation of the garbage removal and transportation system in Jiamusi City, establishes a mathematical model to solve it in mat lab, and uses genetic algorithm and particle swarm optimization to obtain the optimal path for garbage transportation. Combined with example verification, the results of the two algorithms are obtained and compared respectively, and an algorithm suitable for optimizing the waste removal path is derived.