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App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 12

Multi-swarm binary arithmetic optimization algorithm and its application

Wang Ruobin1,2
Geng Fangdong1,3
Wang Jiawei1
Xu Lin4
Duan Jianyong1
1. School of Information Science & Technology, North China University of Technology, Beijing 100144, China
2. Beijing Urban Governance Research Center, North China University of Technology, Beijing 100144, China
3. Southwest Jiaotong University, State Key Laboratory of Traction Power, Chengdu 610031, China
4. STEM, University of South Australia, Adelaide 5095, Australia
DOI: 10.19734/j.issn.1001-3695.2024.04.0158

Abstract

To address the issue that the Arithmetic Optimization Algorithm (AOA) is not applicable to discrete binary type optimization problems, we propose a novel algorithm: the Discrete Binary Arithmetic Optimization Algorithm employing a variant of the Sigmoid function (BAOA_S) . This algorithm is capable of overcoming the challenge of the original AOA’s inability to optimize discrete binary variables. In addition, we propose a Multi-Swarm Binary Arithmetic Optimization Algorithm (MS-BAOA) employing a mutation strategy to divide the original population into multiple sub-swarms that communicate with one another through the use of specific communication strategies. The mutation strategy is then employed to enhance population diversity, addressing a weakness of the BAOA_S algorithm: the challenge of escaping local optimal solutions. We evaluated MS-BAOA against BAOA_S, Binary Particle Swarm Optimization Algorithm (BPSO) , Binary Gray Wolf Optimization Algorithm (BGWO) , Binary Fish Migration Optimization Algorithm (BFMO) , and Binary Equilibrium Optimizer(BiEO) based on the CEC2013 benchmark function, and the experimental results showed that MS-BAOA is generally superior to the other algorithms. Furthermore, we apply MS-BAOA to solve the fault localization problem of distribution networks, and the experimental results show that the algorithm can realize the fast and accurate localization of single-point faults and multi-point faults in distribution networks further verifying the effectiveness of the algorithm.

Foundation Support

国家自然科学基金资助项目(61972003)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.04.0158
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 12

Publish History

[2024-09-11] Accepted Paper

Cite This Article

王若宾, 耿芳东, 王佳伟, 等. 一种多种群二进制算术优化算法及其应用 [J]. 计算机应用研究, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.04.0158. (Wang Ruobin, Geng Fangdong, Wang Jiawei, et al. Multi-swarm binary arithmetic optimization algorithm and its application [J]. Application Research of Computers, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.04.0158. )

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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