Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 10
2978-2983,2999

Hybrid Harris hawks optimization algorithm for solving low-carbon multimodal transportation problem with fuzzy demand

Huang Qin
Zhang Huizhen
Ma Liang
Yang Jianhao
School of Management, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2023.03.0061

Abstract

For the low-carbon multimodal transportation planning problem with fuzzy demands and carbon emission limit, this paper proposed a multi-objective multimodal transportation mathematical model to minimize the path cost and carbon emission. Firstly, it used the chance constrained programming to deal with the uncertain demand represented by trapezoidal fuzzy number according to the characteristics of the model. Secondly, it designed the path relinking algorithm, multiple crossover operators, and mutation operators to replace the search process of original Harris hawks optimizer algorithm. It successfully applied the algorithm to the discrete optimization problems on the premise of preserving the original characteristics of this algorithm. Finally, it studied the multimodal transportation from Nanning city to Harbin city as a case, which gave multiple reasonable route scheme. HHHO was compared with other algorithms. The results show that HHHO, NSGA-Ⅱ, GA, SA and PSO all obtain a set of near-optimal solutions with five solutions in an ideal time, and the solution set of HHHO is closer to the optimal solution set. The running time of HHHO and the other four algorithms are 86.50 s, 118.26 s, 101.67 s, 81.22 s and 68.40 s, respectively. HHHO is faster than GA and NSGA-Ⅱ in running time. Therefore, these results verify the feasibility of the model and the effectiveness of hybrid Harris hawks optimizer algorithm.

Foundation Support

国家自然科学基金资助项目(72101149)
教育部人文社会科学基金项目(21YJC630087)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.03.0061
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 10
Section: Algorithm Research & Explore
Pages: 2978-2983,2999
Serial Number: 1001-3695(2023)10-015-2978-06

Publish History

[2023-05-29] Accepted Paper
[2023-10-05] Printed Article

Cite This Article

黄琴, 张惠珍, 马良, 等. 混合哈里斯鹰优化算法求解带模糊需求的低碳多式联运路径规划问题 [J]. 计算机应用研究, 2023, 40 (10): 2978-2983,2999. (Huang Qin, Zhang Huizhen, Ma Liang, et al. Hybrid Harris hawks optimization algorithm for solving low-carbon multimodal transportation problem with fuzzy demand [J]. Application Research of Computers, 2023, 40 (10): 2978-2983,2999. )

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.

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