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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 11
3340-3348

Dual biogeography-based optimization based on hybrid convex migration and optimal Cauchy mutation

Zhang Ziyu1,2
Gao Yuelin1,2
Li Jiahang1
1. School of Mathematics & Information Science, North Minzu University, Yinchuan 750021, China
2. Ningxia Key Laboratory of Intelligent Information & Big Data Processing, Yinchuan 750021, China
DOI: 10.19734/j.issn.1001-3695.2021.04.0108

Abstract

By analyzing the performance of biogeography-based optimization(BBO), this paper proposed a dual biogeography-based optimization based on hybrid convex migration and optimal Cauchy mutation(DuBBO). The algorithm used the dynamic mixed convex migration operator made it converge to the optimal solution quickly. In the mutation mechanism, the algorithm used optimal mutation and Cauchy distribution random number to help the algorithm jump out of the local optimal solution. Finally, the algorithm added the dual learning strategy to speed up the convergence speed and improve ability. The experimental results on 23 benchmark functions show the effectiveness and necessity of the three strategies. Compared DuBBOwith BBO and other six excellent improved algorithms. The experimental results show that DuBBO has the best overall performance, faster convergence speed and higher convergence accuracy.

Foundation Support

国家自然科学基金资助项目(61561001)
宁夏高等教育一流学科建设基金资助项目(NXYLXK2017B09)
北方民族大学重大科研专项项目(ZDZX201901)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0108
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: Algorithm Research & Explore
Pages: 3340-3348
Serial Number: 1001-3695(2021)11-024-3340-09

Publish History

[2021-11-05] Printed Article

Cite This Article

张滋雨, 高岳林, 李嘉航. 基于混合凸迁移和趋优柯西变异的对偶生物地理学优化算法 [J]. 计算机应用研究, 2021, 38 (11): 3340-3348. (Zhang Ziyu, Gao Yuelin, Li Jiahang. Dual biogeography-based optimization based on hybrid convex migration and optimal Cauchy mutation [J]. Application Research of Computers, 2021, 38 (11): 3340-3348. )

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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