Algorithm Research & Explore
|
1402-1409

Improved yin-yang-pair algorithm for solving multi-modal objective functions

Li Dahai
Zhan Meixin
Wang Zhendong
School of Information Engineering, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341000, China

Abstract

Aiming at overcoming defects of relatively slow convergence speed and low accuracy of yin-yang-pair optimization(YYPO) algorithm when optimizing multi-modal objective functions, this paper proposed a novel enhanced YYPO algorithm, named MYYPO. MYYPO integrated the differential evolution strategy combined with adaptive mutation factor and the D-way splitting mechanism with Gaussian distribution disturbance. At First, MYYPO introduced differential mutation operation in segmentation stage to increase the diversity of candidate solutions largely and therefor improves exploration ability of the algorithm. Secondly, MYYPO adopted an improved D-way splitting approach to generate candidate solutions, and then enhanced its performance in high dimensional objective functions. The experiment selected 20 test functions from the CEC2013 evolution conference as benchmark functions to evaluate the performance of MYYPO, YYPO and several other YYPO algorithms. Experimental results illustrate that MYYPO can achieve higher convergence accuracy and better global search ability on multi-modal functions in most cases. In addition, MYYPO was also applied to solve a PID parameter optimization problem for an electrohydraulic position servo control system. MYYO has also achieved the best results.

Foundation Support

国家自然科学基金资助项目(61563019,62062037)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.11.0465
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 5
Section: Algorithm Research & Explore
Pages: 1402-1409
Serial Number: 1001-3695(2022)05-019-1402-08

Publish History

[2021-12-24] Accepted Paper
[2022-05-05] Printed Article

Cite This Article

李大海, 詹美欣, 王振东. 求解多峰目标函数的改进阴阳对算法 [J]. 计算机应用研究, 2022, 39 (5): 1402-1409. (Li Dahai, Zhan Meixin, Wang Zhendong. Improved yin-yang-pair algorithm for solving multi-modal objective functions [J]. Application Research of Computers, 2022, 39 (5): 1402-1409. )

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.

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