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Algorithm Research & Explore
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177-184

Two-layer planning model and optimization algorithm for recycling bin layout and scheduling in urban residential areas

Guo Qian
Liu Yong
Ma Liang
Management School, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

In addressing the layout planning and path optimization problem of recycling bins in urban residential areas, this paper constructed a linear function to relate the number of recycling bins in residential areas to population, recycling frequency, and recycling threshold. It developed a bi-level optimization model, with the upper-level objective of maximizing total recycling profit and the lower-level objective of minimizing transportation costs. To address the NP-hard nature of the model, it designed a human learning optimization algorithm incorporating group learning operators and adaptive selection strategies. This algorithm was combined with a tabu search algorithm to form the hybrid human learning optimization algorithm(HHLO). The new algorithm was compared with basic human learning algorithms, genetic algorithms, adaptive particle swarm algorithms and red-billed blue magpie optimization algorithms across various scale instances. The results validate the model's feasibility and the algorithm's effectiveness. A sensitivity analysis, using a case study in Shanghai's Yangpu District, examined how recycling bin capacity, time-based pricing strategies, and zone-based pricing strategies impacted the total profit of the recycling center and resident satisfaction.

Foundation Support

教育部人文社会科学研究青年基金资助项目(21YJC630087)
上海市哲学社会科学规划课题(2019BGL014)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.06.0203
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 1
Section: Algorithm Research & Explore
Pages: 177-184
Serial Number: 1001-3695(2025)01-025-0177-08

Publish History

[2025-01-05] Printed Article

Cite This Article

郭谦, 刘勇, 马良. 城市居民区回收箱布局和调度双层规划模型及优化算法 [J]. 计算机应用研究, 2025, 42 (1): 177-184. (Guo Qian, Liu Yong, Ma Liang. Two-layer planning model and optimization algorithm for recycling bin layout and scheduling in urban residential areas [J]. Application Research of Computers, 2025, 42 (1): 177-184. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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