Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 10
2961-2967

Bi-level programming location-routing optimization model and algorithm for emergency resource scheduling considering preparedness

Wan Mengran1
Ye Chunming1
Dong Jun1,2
Zhao Lingwei1
Guo Jing1
1. Business School, University of Shanghai for Science & Technology, Shanghai 200093, China
2. Business School, Henan Institute of Technology, Xinxiang Henan 453000, China
DOI: 10.19734/j.issn.1001-3695.2021.03.0079

Abstract

Disaster preparedness measures can prepare for disaster relief to ensure that emergency supplies can reach the disa-ster area in a timely and effective manner. This paper proposed a bi-level programming emergency resource scheduling location-routing model with considering preparedness(BLERSLR-P). In the model, the upper level aimed to minimize the total cost of supply station construction and operation, while the lower level aimed to minimize the cost of distribution route. This paper designed an improved bi-level salp swarm genetic algorithm(BLSSAGA) to solve this problem, combined the concept of iterative division to update the leader position, used the natural exponential inertia weight strategy to modify the control factor, used the chaotic map to update the follower position, and used Taguchi analysis to obtain reasonable values of parameters. Finally, this paper used bi-level salp swarm genetic algorithm(BLSSAGA) and genetic particle swarm optimization algorithm(GAPSO), particle swarm optimization algorithm(PSO), and immune optimization algorithm(IA) to solve and compare and analyze the LRP data set in OR-Library, which verified the feasibility and effectiveness of the proposed model and algorithm.

Foundation Support

上海市科委“科技创新行动计划”软科学重点项目(20692104300)
国家自然科学基金资助项目(71840003)
上海理工大学科技发展项目(2018KJFZ043)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.03.0079
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 10
Section: Algorithm Research & Explore
Pages: 2961-2967
Serial Number: 1001-3695(2021)10-013-2961-07

Publish History

[2021-10-05] Printed Article

Cite This Article

万孟然, 叶春明, 董君, 等. 考虑备灾的双层规划应急资源调度选址—路径优化模型与算法 [J]. 计算机应用研究, 2021, 38 (10): 2961-2967. (Wan Mengran, Ye Chunming, Dong Jun, et al. Bi-level programming location-routing optimization model and algorithm for emergency resource scheduling considering preparedness [J]. Application Research of Computers, 2021, 38 (10): 2961-2967. )

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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