Algorithm Research & Explore
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1428-1433

Novel hybrid ant colony algorithm for solving problem of waste classification and transportation

Zhao Jinyue
Ma Liang
Liu Yong
Business School, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

This paper proposed the mathematical model with the goal of minimizing transportation costs and vehicle fixed costs which based on the urban waste classification collection and transportation problem, considering the vehicle loading capacity constraints, hard time window constraints, and the impact of loading rate on cost. Dynamic fusion of an improved ant colony algorithm that considered the time fit factor and the vehicle capacity utilization factor and chaotic electromagnetic field optimization algorithm, combined with 2-opt and two-point exchange local search method, this paper proposed a novel hybrid ant colony algorithm with improved ant colony algorithm as the external framework and chaotic electromagnetic field optimization algorithm as the internal module to solve the urban waste classification collection and transportation problem. According to the idea of complementary advantages between algorithms, using the advantages of the two algorithms to make up for the defects of a single algorithm, it successfully applied to this problem. Finally, it used the vehicle routing problem standard test set and data from Yangpu district, Shanghai as examples to test and compare, verifies the correctness of the model and the effectiveness and optimization capabilities of the algorithm.

Foundation Support

国家教育部人文社会科学研究规划基金资助项目(16YJA630037)
上海市“科技创新行动计划”软科学研究重点项目(17692109400,18692110500)
上海市社科规划课题(2019BGL014)
上海市高原科学建设项目(第二期)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.05.0126
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 5
Section: Algorithm Research & Explore
Pages: 1428-1433
Serial Number: 1001-3695(2021)05-026-1428-06

Publish History

[2021-05-05] Printed Article

Cite This Article

赵今越, 马良, 刘勇. 垃圾分类收运路径问题的新型混合蚁群算法求解 [J]. 计算机应用研究, 2021, 38 (5): 1428-1433. (Zhao Jinyue, Ma Liang, Liu Yong. Novel hybrid ant colony algorithm for solving problem of waste classification and transportation [J]. Application Research of Computers, 2021, 38 (5): 1428-1433. )

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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