Algorithm Research & Explore
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1704-1708,1717

Multi-population artificial bee colony algorithm with variable population size

Song Xiaoyu
Xiao Yitong
Zhao Ming
Quan Pengyu
School of Information & Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China

Abstract

In order to solve the insufficient development ability of artificial bee colony algorithm, this paper proposed a multi-population artificial bee colony algorithm with variable population size(DMABCPS). It divided the whole population into several subpopulations with the individual mean position as the central point. It used three different strategies in the employer bee phase to ensure the exploitation of the good population, the balance of the intermediate population and the exploration of the poor population. In the onlooker bee, it selected two search strategies adaptively based on the selection mechanism of success rate. In addition, it established a new probabilistic selection model to select subpopulations and their internal individuals. Finally, it used 22 standard function test sets to verify that the proposed algorithm is superior to current algorithms.

Foundation Support

辽宁省自然科学基金资助项目(2017054767)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.07.0174
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 6
Section: Algorithm Research & Explore
Pages: 1704-1708,1717
Serial Number: 1001-3695(2021)06-019-1704-05

Publish History

[2021-06-05] Printed Article

Cite This Article

宋晓宇, 肖以筒, 赵明, 等. 子种群规模可变的多种群人工蜂群算法 [J]. 计算机应用研究, 2021, 38 (6): 1704-1708,1717. (Song Xiaoyu, Xiao Yitong, Zhao Ming, et al. Multi-population artificial bee colony algorithm with variable population size [J]. Application Research of Computers, 2021, 38 (6): 1704-1708,1717. )

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.

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