Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 9
2694-2703,2712

Multi-strategy fusion improved adaptive tunicate swarm algorithm

Chai Yan
Li Guangyou
Ren Sheng
Xu Zhaonan
College of Science, Liaoning Technical University, Fuxin Liaoning 123000, China
DOI: 10.19734/j.issn.1001-3695.2023.02.0016

Abstract

In order to solve the problems of inadequate global search and easy to fall into local extremum, this paper proposed a multi-strategy fusion improved adaptive tunicate swarm algorithm(MITSA). Firstly, this paper used the best point set strategy to improve population diversity during initialization. Secondly, it offered a multi-elite cooperative guidance mechanism to optimize the tunicates' location information, and enhance the global exploration ability of the algorithm by increasing the exploration possibility of unknown search area. Then, the algorithm achieved dynamic global and local search balance by introducing adaptive weight factors into the group behavior stage. Meanwhile, probabilistic wavelet variation strategy promoted individual dynamic fine-tuning to enhance the anti-stagnation ability of the algorithm, while using the greedy principle to retain excellent information to help the population to the food source. Finally, this paper proved the global convergence of the improved algorithm based on Markov chain theory. Through the numerical simulation of the benchmark test function and CEC2014 complex function, the experimental results and Wilcoxon rank sum test results comprehensively verify MITSA's excellent convergence accuracy, robust robustness and high-dimensional scalability.

Foundation Support

教育部规划基金青年项目(21YJCZH204)
辽宁省自然科学基金资助项目(2020-MS-301)
辽宁省教育厅项目(LJKMZ20220694)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.02.0016
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 9
Section: Algorithm Research & Explore
Pages: 2694-2703,2712
Serial Number: 1001-3695(2023)09-021-2694-10

Publish History

[2023-03-30] Accepted Paper
[2023-09-05] Printed Article

Cite This Article

柴岩, 李广友, 任生, 等. 多策略融合改进的自适应被囊群算法 [J]. 计算机应用研究, 2023, 40 (9): 2694-2703,2712. (Chai Yan, Li Guangyou, Ren Sheng, et al. Multi-strategy fusion improved adaptive tunicate swarm algorithm [J]. Application Research of Computers, 2023, 40 (9): 2694-2703,2712. )

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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