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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 3
795-803

Multi-population multi-strategy differential evolution algorithm with triple selection mechanism

Song Xiaoyu
Li Min
Zhao Ming
School of Computer Science & Engineering, Shenyang Jianzhu University, Shenyang 110168, China
DOI: 10.19734/j.issn.1001-3695.2024.09.0316

Abstract

To address the issue of the differential evolution(DE) algorithm falling into local optima and achieving low solution accuracy during the optimization process, this paper introduced a multi-population multi-strategy differential evolution algorithm(TSMDE) with a triple selection mechanism. The algorithm adopted a hierarchical population structure, dividing it into three sub-populations based on fitness values, and dynamically adjusted the size of each sub-population as iterations progress. Meanwhile, it applied five improved mutation strategies as well as different parameter adaptive approaches to balance exploitation and exploration for individuals at different evolutionary stages. In order to fully utilize the advantages of multiple populations, it implemented an efficient information-sharing process via the triple selection mechanism. In this mechanism, each sub-population first selected an individual to mutate using different modes. Then, the individual chose a suitable mutation strategy based on its evolutionary state, and finally, it selected a candidate solution from two external archives to replace the target vector when stagnation was detected. This guided the evolutionary process of the entire population. Finally, it compared TSMDE with 13 advanced DE variants to validate its effectiveness. Experimental results on 30 benchmark functions from the CEC2014 test set demonstrate that the proposed algorithm achieves better or comparable performance in both solution accuracy and avoiding local optima compared to the 13 advanced algorithms.

Foundation Support

辽宁省教育厅重点科研资助项目(lnzd202004)
辽宁省科技厅自然科学基金计划资助项目(2023-MS-222)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.09.0316
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 3
Section: Algorithm Research & Explore
Pages: 795-803
Serial Number: 1001-3695(2025)03-020-0795-09

Publish History

[2024-12-16] Accepted Paper
[2025-03-05] Printed Article

Cite This Article

宋晓宇, 李敏, 赵明. 一种带有三重选择机制的多种群多策略差分进化算法 [J]. 计算机应用研究, 2025, 42 (3): 795-803. (Song Xiaoyu, Li Min, Zhao Ming. Multi-population multi-strategy differential evolution algorithm with triple selection mechanism [J]. Application Research of Computers, 2025, 42 (3): 795-803. )

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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