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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 4
1077-1085

Enhanced sparrow search algorithm by integrating niche mechanism and its application

Li Dahai
Li Xin
Wang Zhendong
School of Information Engineering, Jiangxi University of Science ＆ Technology, Ganzhou Jiangxi 341400, China
DOI: 10.19734/j.issn.1001-3695.2023.08.0353

Abstract

Aiming at overcoming drawbacks of lower accuracy and being trapped easily into local optimums of the sparrow search algorithm(SSA), this paper proposed an enhanced sparrow search algorithm by integrating niche mechanism(NSSA). Firstly, NSSA adopted an adaptive niche mechanism based on producers' similarity to automatically partition the whole sparrow population into several producer-centered speciation, and to move scroungers inside the speciation towards to the producer inside the same speciation, in order to maintaining the diversity of the whole population. Secondly, NSSA applied a fuzzy logic based differential mutation operation to further mutate sparrow producers to raise the probability to jump out of local optimums. It used 12 functions selected from the CEC2017 benchmark function as the testbed to evaluate NSSA with CSSOA, ISSA, MSSSA, SHSSA, and MSWOA. Experimental results show that NSSA even can raise convergence accuracy up by 10% compared with the second ranked evaluated algorithm on most of multimodal objective test functions. This paper also conducted ablation experiments for each improved strategy proposed in NSSA. Experimental results show NSSA can achieve supreme performance by applying all 3 strategies simultaneously. At last, NSSA is applied to solve the pressure vessel design problem. Experimental results illustrate that NSSA has the ability to find the best solutions compared to other evaluated algorithms.

Foundation Support

国家自然科学基金资助项目(61563019,615620237)
江西理工大学校级基金资助项目(205200100013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.08.0353
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 4
Section: Algorithm Research & Explore
Pages: 1077-1085
Serial Number: 1001-3695(2024)04-018-1077-09

Publish History

[2023-12-11] Accepted Paper
[2024-04-05] Printed Article

Cite This Article

李大海, 李鑫, 王振东. 融合小生境机制的增强麻雀搜索算法及其应用 [J]. 计算机应用研究, 2024, 41 (4): 1077-1085. (Li Dahai, Li Xin, Wang Zhendong. Enhanced sparrow search algorithm by integrating niche mechanism and its application [J]. Application Research of Computers, 2024, 41 (4): 1077-1085. )

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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