Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 10
3072-3077

Mayfly optimization algorithm based on gold sine and adaptive merge

Wang Yia
Zhang Damina
Zhang Linnab
Li Daohuaa
Zou Chengchenga
a. College of Big Data & Information Engineering, b. College of Mechanical Engineering, Guizhou University, Guiyang 550025, China
DOI: 10.19734/j.issn.1001-3695.2021.03.0042

Abstract

In order to solve the shortcoming of meta-heuristic mayfly optimization algorithm(MOA), such as low precision, slow convergence velocity and low stability, this paper proposed a new mayfly optimization algorithm, which combined the gold sine and adaptive merge. Firstly, it introduced the adaptive inertia weight factor to enhance the search and development ability of the algorithm to achieve a better balance. Then it introduced the fusion Lévy flight strategy and the gold sine factor to further improve the shortcoming of fall into the local optimum, enhanced the population diversity and jumped out of the local optimum. Simulation results show that the solution precision, convergence velocity and optimization ability of the improved algorithms are significantly improved on the test functions. At the same time, in order to verify the reliability and validity of the results, this paper analyzed the data obtained by the improved algorithm on statistical test, mean absolute error and solution success rate. The algorithm has obvious improvement in the stability, reliability and robustness compared with the MOA. Besides, this paper introduced a specific engineer case to verify the applicability of the algorithm in engineering.

Foundation Support

国家自然科学基金资助项目(62062021,61872034)
贵州省科学技术基金资助项目(黔科合基础［2020］1Y254)
贵州省自然科学基金资助项目(黔科合基础［2019］1064)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.03.0042
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 10
Section: Algorithm Research & Explore
Pages: 3072-3077
Serial Number: 1001-3695(2021)10-033-3072-06

Publish History

[2021-10-05] Printed Article

Cite This Article

王义, 张达敏, 张琳娜, 等. 基于黄金正弦与自适应融合的蜉蝣优化算法 [J]. 计算机应用研究, 2021, 38 (10): 3072-3077. (Wang Yi, Zhang Damin, Zhang Linna, et al. Mayfly optimization algorithm based on gold sine and adaptive merge [J]. Application Research of Computers, 2021, 38 (10): 3072-3077. )

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  • 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.

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