Algorithm Research & Explore
|
1994-1997,2039

Evolutionary sampling approach with soft adaptive Lévy probability distribution

Zhang Haipeng
Zhang Yangfan
Sun Jun
School of Internet of Things Engineering, Jiangnan University, Wuxi Jiangsu 214122, China

Abstract

Some research introduced evolution idea into sampling algorithms, and proposed related algorithms combined with adaptive Lévy distribution. This paper improved the evolutionary sampling algorithm based on Lévy distribution. By setting the parameter α of this distribution to 1.0, 1.3, 1.7, 2.0, corresponding to the four transition probability distributions, it increased the diversity of the generated candidate samples. Theoretical analysis and experimental results show that the proposed algorithm is superior to the evolutionary sampling algorithm based on Gaussian distribution, Cauchy distribution, symmetrical exponential distribution and other adaptive evolutionary sampling algorithms in terms of convergence rate and accuracy.

Foundation Support

国家自然科学基金资助项目(61672263)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0850
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Algorithm Research & Explore
Pages: 1994-1997,2039
Serial Number: 1001-3695(2019)07-017-1994-04

Publish History

[2019-07-05] Printed Article

Cite This Article

张海鹏, 张扬帆, 孙俊. 基于Lévy分布的柔软自适应演化采样算法 [J]. 计算机应用研究, 2019, 36 (7): 1994-1997,2039. (Zhang Haipeng, Zhang Yangfan, Sun Jun. Evolutionary sampling approach with soft adaptive Lévy probability distribution [J]. Application Research of Computers, 2019, 36 (7): 1994-1997,2039. )

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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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