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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 5
1395-1401

Improved multi-objective whale optimization algorithm based on angle penalized distance using nonlinear decreasing convergence factor strategy

Wang Longda1,2
Wang Xingcheng2
Liu Gang3,4,5,6
1. School of Automation & Electrical Engineering, Dalian Jiaotong University, Dalian Liaoning 116028, China
2. School of Marine Electrical Engineering, Dalian Maritime University, Dalian Liaoning 116026, China
3. School of Electronic Information & Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
4. College of Engineering, Inner Mongolia University for Nationalities, Tongliao Inner Mongolia 028000, China
5. School of Mechanical & Electrical Engineering, Jiangxi New Energy Technology Institute, Xinyu Jiangxi 338004, China
6. Inner Mongolia Minzu University Key Laboratory of Intelligent Manufacturing Technology, Tongliao Inner Mongolia 028000, China
DOI: 10.19734/j.issn.1001-3695.2021.10.0473

Abstract

Aiming at global optimization for multi-objective whale optimization algorithm, this paper proposed an improved multi-objective whale optimization algorithm based on angle penalized distance using a nonlinear decreasing convergence factor strategy IWOA-APD. Firstly, aiming at the problem that the convergence and diversity of the basic whale optimization algorithm were difficult to balance, IWOA-APD used angle penalized distance for evaluating the optimal degree of solutions. Secondly, IWOA-APD gave a nonlinear decreasing strategy of convergence factor based on iteration progress and optimization factors, and the strategy could further improve the optimization performance by using optimization factor. In addition, in order to improve the diversity maintenance effect of elite set, IWOA-APD gave an elite maintenance mechanism based on fusion distance and congestion degree distance. Finally, in order to verify the effectiveness of the proposed algorithm, the proposed IWOA-APD was compared with IWOA, MOWOA, dMOSSO in the standard test functions and a practical calculating example of velocity curve optimization for urban rail vehicle on the MATLAB2016a GUI platform. The experimental results show that the proposed algorithm IWOA-APD can obtain more ideal optimization results. Therefore, compared with several optimization algorithms with well performance quality, IWOA-APD has faster calculating efficiency and higher convergence accuracy.

Foundation Support

国家自然科学基金资助项目(60574018)
内蒙古民族大学国家基金培育项目(NMFGP17101)
内蒙古民族大学博士科研启动基金资助项目(BS416)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.10.0473
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 5
Section: Algorithm Research & Explore
Pages: 1395-1401
Serial Number: 1001-3695(2022)05-018-1395-07

Publish History

[2022-01-10] Accepted Paper
[2022-05-05] Printed Article

Cite This Article

王龙达, 王兴成, 刘罡. 基于角度惩罚距离的收敛因子非线性递减多目标鲸鱼优化改进算法 [J]. 计算机应用研究, 2022, 39 (5): 1395-1401. (Wang Longda, Wang Xingcheng, Liu Gang. Improved multi-objective whale optimization algorithm based on angle penalized distance using nonlinear decreasing convergence factor strategy [J]. Application Research of Computers, 2022, 39 (5): 1395-1401. )

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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