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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 4
1148-1154

Scheduling optimization of emergency supplies with multi-supply points based on variable length genotype genetic algorithm

Wu Fan1
Yang Bing1,2
Hong Si1
1. School of Management Science & Engineering, Anhui University of Technology, Ma'anshan Anhui 243032, China
2. Anhui Taier Heavy Industry Co. , Ltd. , Ma'anshan Anhui 243000, China
DOI: 10.19734/j.issn.1001-3695.2021.09.0419

Abstract

How to dispatch emergency supplies timely and efficiently and reduce the damage caused by emergencies has become the focus of social attention. On the premise of considering the characteristics of special emergencies such as the epidemic situation of COVID-19, this paper constructed a kind of emergency supplies scheduling network of multi-supply points and multimodal transportation. Taking the lowest transportation cost, the least time penalty and the minimum risk of infection of dispatchers as the optimization objectives, it established a kind of multi-objective optimal scheduling model. In view of the limitation of the optimization algorithm based on clustering in solving multi-supply points, especially multi-objective scheduling optimization problems, the paper proposed a kind of hybrid niche genetic algorithm for variable length genotypes considering the idea of full feasible regions, which could avoid the problem above by restoring the search range of the solution to the fully feasible regions. The experiment results of 23 benchmark instances show that the optimization performance of the algorithm is stronger and it can search better solutions than best-known solutions of some examples. On this basis, the simulation results of four kinds of genetic algorithms in emergency supplies scheduling examples of multi-supply points and multimodal transportation come to a conclusion that the improved strategies such as hybrid niche are superior.

Foundation Support

国家自然科学基金资助项目(61702006)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0419
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 4
Section: System Development & Application
Pages: 1148-1154
Serial Number: 1001-3695(2022)04-032-1148-07

Publish History

[2021-12-07] Accepted Paper
[2022-04-05] Printed Article

Cite This Article

吴凡, 杨冰, 洪思. 基于变长基因型遗传算法的多供应点应急物资调度优化 [J]. 计算机应用研究, 2022, 39 (4): 1148-1154. (Wu Fan, Yang Bing, Hong Si. Scheduling optimization of emergency supplies with multi-supply points based on variable length genotype genetic algorithm [J]. Application Research of Computers, 2022, 39 (4): 1148-1154. )

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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