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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 9
2696-2700

Improved BBO algorithms based on ecological imperialism

Zhang Yongxian
Chen Yangjinyu
Tai Wanwen
Li Wei
College of Electrical & Automation Engineering, East China Jiaotong University, Nanchang 330052, China
DOI: 10.19734/j.issn.1001-3695.2020.12.0566

Abstract

In order to solve the problems of BBO such as insufficient search scope in the early stage and easy to fall into local optimization in the later stage, this paper proposed an improved EI-BBO which based on EI. Firstly, the algorithm searched for new habitat around the original habitat, it enhanced the diversity of the initialization population. Secondly, the algorithm made improved habitat expansion, it improved the convergence efficiency of the algorithm. Finally, the algorithm used gradient descent to make quadratic convergence in the field of optimal solution, which improved the convergence accuracy of the algorithm. This paper carried out 50 Monte Carlo experiments on 12 optimized test functions commonly used in CEC2014, the experimental results show that the overall performance of EI-BBO is better than the other three intelligent optimization algorithms in terms of optimal fitness value, average fitness value and standard deviation. It shows that EI-BBO can improve the ability to find the optimal solution and enhance the search stability.

Foundation Support

国家自然科学基金资助项目(61763012)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.12.0566
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 9
Section: Algorithm Research & Explore
Pages: 2696-2700
Serial Number: 1001-3695(2021)09-024-2696-05

Publish History

[2021-09-05] Printed Article

Cite This Article

张永贤, 陈杨谨瑜, 邰万文, 等. 引入生态扩张主义的改进生物地理学优化算法 [J]. 计算机应用研究, 2021, 38 (9): 2696-2700. (Zhang Yongxian, Chen Yangjinyu, Tai Wanwen, et al. Improved BBO algorithms based on ecological imperialism [J]. Application Research of Computers, 2021, 38 (9): 2696-2700. )

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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