Algorithm Research & Explore
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751-757

Site selection and capacity planning of charging station based on improved coyote optimization algorithm

Luo Jiaxin
He Dengxu
School of Mathematics & Physics, Guangxi University for Nationalities, Nanning 530006, China

Abstract

For coyotes optimization algorithm's global search ability was insufficient, easily plunged into local optimum, this paper proposed an improved coyote optimization algorithm. In the optimization process of coyote optimization algorithm, this improved algorithm introduced a deformed elite retention strategy and added the environmental impact factor in the growth process of coyote, then brought the grown coyotes into the Kent mapping to traverse the search space to strengthen the mining ability and search performance of the algorithm. Numerical experiments show that the improved algorithm has better perfor-mance. Taking the whole social and economic costs and carbon emissions as the decision-making objectives, this paper constructed a bi-level programming model for location and capacity of electric vehicle charging station, and used the improved coyote optimization algorithm to solve the programming model to verify the feasibility and effectiveness of the algorithm.

Foundation Support

国家自然科学基金资助项目(11961006)
广西高校科学技术研究重点资助项目(2013ZD022)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0364
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Algorithm Research & Explore
Pages: 751-757
Serial Number: 1001-3695(2022)03-018-0751-07

Publish History

[2021-11-29] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

罗佳欣, 何登旭. 基于改进郊狼优化算法的充电站选址定容规划 [J]. 计算机应用研究, 2022, 39 (3): 751-757. (Luo Jiaxin, He Dengxu. Site selection and capacity planning of charging station based on improved coyote optimization algorithm [J]. Application Research of Computers, 2022, 39 (3): 751-757. )

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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