Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 4
1020-1024

Disruption particle swarm optimization algorithm based on exponential decay weight

Wang Yonggui
Qu Tongtong
Li Shuang
College of Software, Liaoning Technical University, Huludao Liaoning 125105, China
DOI: 10.19734/j.issn.1001-3695.2018.10.0734

Abstract

To overcome the local optimum and premature convergence due to loss of population diversity of the particle swarm optimization algorithm, this paper proposed a disruption particle swarm optimization algorithm based on exponential decay weight(EDW-DPSO). Firstly, it semi-uniformly initialized the population to distribute the population in an overall uniform, locally random manner. Secondly, it introduced the dynamic splitting operator to perform splitting operations on particles which satisfying the splitting condition, increasing the diversity of the population and avoiding the particles falling into local optimum. Finally, it used the exponential decreasing inertia weight to balance the global search and local development ability of the particles. The experimental results show that the algorithm has a large search space in the early stage, and the population diversity increases. In the later stage, emphasizing the local development to improve the convergence precision and optimization ability, it can also accelerate particles jumping out of the local extremum and approximate globlal optimum.

Foundation Support

国家自然科学基金面上项目(61772249)
国家自然科学基金应急管理项目(61540056)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0734
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Algorithm Research & Explore
Pages: 1020-1024
Serial Number: 1001-3695(2020)04-013-1020-05

Publish History

[2020-04-05] Printed Article

Cite This Article

王永贵, 曲彤彤, 李爽. 基于指数衰减惯性权重的分裂粒子群优化算法 [J]. 计算机应用研究, 2020, 37 (4): 1020-1024. (Wang Yonggui, Qu Tongtong, Li Shuang. Disruption particle swarm optimization algorithm based on exponential decay weight [J]. Application Research of Computers, 2020, 37 (4): 1020-1024. )

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  • Application Research of Computers Monthly Journal
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    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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