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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 3
809-813

Sine-cosine algorithm with learning mechanism

Fang Xuyang
Wu Xiangjun
You Datao
College of Software, Henan University, Kaifeng Henan 475004, China
DOI: 10.19734/j.issn.1001-3695.2018.08.0620

Abstract

In order to solve function optimization problems that standard sine-cosine algorithm is easy to fall into local optimum and poor convergence accuracy, this paper proposed a sine-cosine algorithm with learning mechanism. This algorithm introduced the elite opposition-based learning strategy to construct the elite and the opposite population, and preserved the optimal individual in the mixed population, thus it optimized the individual position in the population and improved the optimization accuracy of the algorithm. At the same time, the algorithm used individual reflective learning ability to avoid individuals blindly learning from the current optimal solution, and made the algorithm stagnate in the local optimal, thus effectively avoided the immature convergence of the algorithm. The algorithm performed simulation experiments with 13 standard test functions. The experimental results show that the algorithm is more robust and has better function optimization ability than comparison algorithms.

Foundation Support

国家自然科学基金资助项目(61872125)
河南省科技厅资助项目(182102410051)
赛尔网络下一代互联网技术创新项目(NGII20170902)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0620
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 3
Section: Algorithm Research & Explore
Pages: 809-813
Serial Number: 1001-3695(2020)03-036-0809-05

Publish History

[2020-03-05] Printed Article

Cite This Article

方旭阳, 武相军, 游大涛. 具有学习机制的正弦余弦算法 [J]. 计算机应用研究, 2020, 37 (3): 809-813. (Fang Xuyang, Wu Xiangjun, You Datao. Sine-cosine algorithm with learning mechanism [J]. Application Research of Computers, 2020, 37 (3): 809-813. )

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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