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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 8
2305-2310

Research of improved wolf pack algorithm based on differential evolution

Wang Yingxiang1
Chen Minyou1
Cheng Tingli1
Sheng Qi1
Dong Longchang1
Li Zhe2
1. State Key Laboratory of Power Transmission Equipment & System Security & New Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China
2. Chongqing Electric Power Company Electric Power Research Institute of State Grid, Chongqing 400044, China
DOI: 10.19734/j.issn.1001-3695.2018.02.0083

Abstract

Aiming at the problems of traditional wolf pack algorithm(WPA), such as easy to fall in to local optimal, large computational resource cost and low robustness, this paper proposed an improved wolf pack algorithm based on differential evolution(DWPA). First of all, it proposed search wolf search factor, maximum number of raid wolves, adaptive siege step size and differential evolution strategy to improve the traditional wolf pack algorithm, which could not only reduce the computational cost of the algorithm but also improved the global search ability. Then, it proved the convergence of DWPA applying the Markov process. Finally, it conducted optimization test on 13 functions and then compared it with WPA and other 4 algorithms. The test results show that DWPA has great robustness and global search ability, especially has an excellent optimizing ability in multi-peak, high-dimension, indivisible functions.

Foundation Support

国家自然科学基金资助项目(51177177,61105125,51477019)
国家电网公司科技项目(5220001600V6)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.02.0083
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Algorithm Research & Explore
Pages: 2305-2310
Serial Number: 1001-3695(2019)08-014-2305-06

Publish History

[2019-08-05] Printed Article

Cite This Article

王盈祥, 陈民铀, 程庭莉, 等. 基于差分进化的改进狼群算法研究 [J]. 计算机应用研究, 2019, 36 (8): 2305-2310. (Wang Yingxiang, Chen Minyou, Cheng Tingli, et al. Research of improved wolf pack algorithm based on differential evolution [J]. Application Research of Computers, 2019, 36 (8): 2305-2310. )

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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