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

Song Xiaoyu
Li Min
Zhao Ming
Shenyang Jianzhu University, School of Computer Science & Engineering, Shenyang 110168, China

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 introduces a multi-population multi-strategy differential evolution algorithm (TSMDE) with a triple selection mechanism. The algorithm adopts a hierarchical population structure, dividing it into three sub-populations based on fitness values, and dynamically adjusts the size of each sub-population as iterations progress. Meanwhile, it applies 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, we implement an efficient information-sharing process via the triple selection mechanism. In this mechanism, each sub-population first selects an individual to mutate using different modes. Then, the individual chooses a suitable mutation strategy based on its evolutionary state, and finally, it selects a candidate solution from two external archives to replace the target vector when stagnation is detected. This guides the evolutionary process of the entire population. Finally, We compared TSMDE with 13 advanced DE variants to validate its effectiveness. Experimental results on 30 benchmark functions from the CEC2014 test set demonstrate that our proposed algorithm achieves better or comparable performance in both solution accuracy and avoiding local optima when compared to the 13 advanced algorithms.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.09.0316
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 3

Publish History

[2024-12-16] Accepted Paper

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). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.09.0316. (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). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.09.0316. )

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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