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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 12
3622-3626,3655

Improved whale optimization algorithm based on hybrid strategy

Hao Xiaohong1a,1b
Song Jixiang1a
Zhou Qiang2
Ma Ming2
1. a. College of Computer & Communication, b. College of Electrical Engineering & Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
2. Wind Power Technology Center, State Grid Gansu Electric Power Research Institute, Lanzhou 730050, China
DOI: 10.19734/j.issn.1001-3695.2019.09.0528

Abstract

In order to solve the problems of slow search speed, premature convergence and low search accuracy of standard whale optimization algorithm, this paper proposed a hybrid strategy to improve whale optimization algorithm. Firstly, it increased the population diversity by generating the initial population with chaotic map, which laid a foundation for the algorithm global search. Then, by the non-linear strategy, it improved the convergence factor and inertia weight to balance the global exploration, local development ability of the algorithm and accelerated the convergence speed. Finally, according to the variance of the group fitness, it set the threshold performing the mutation operation to avoid the premature convergence of the algorithm. By testing 12 typical benchmark functions in three aspects, the experimental results show that the improved algorithm has a remarkable enhancement in search speed and convergence accuracy. Besides, it has a strong ability to get rid of falling into local optimum.

Foundation Support

国家自然科学基金资助项目(61263008)
甘肃省重大专项(17ZD2GA010)
国家电网公司科技资助项目(SGGSKY00FJJS1700524)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.09.0528
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: Algorithm Research & Explore
Pages: 3622-3626,3655
Serial Number: 1001-3695(2020)12-021-3622-05

Publish History

[2020-12-05] Printed Article

Cite This Article

郝晓弘, 宋吉祥, 周强, 等. 混合策略改进的鲸鱼优化算法 [J]. 计算机应用研究, 2020, 37 (12): 3622-3626,3655. (Hao Xiaohong, Song Jixiang, Zhou Qiang, et al. Improved whale optimization algorithm based on hybrid strategy [J]. Application Research of Computers, 2020, 37 (12): 3622-3626,3655. )

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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