Algorithm Research & Explore
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1666-1673

Ant colony algorithm based on dynamic hierarchical clustering and neighborhood recombination

Zhang Peia
You Xiaominga
Liu Shengb
a. School of Electronic & Electrical Engineering, b. School of Management, Shanghai University of Engineering Science, Shanghai 201620, China

Abstract

Aiming at the problem of slow search speed and insufficient solution quality of ant colony algorithm, this paper proposed an ant colony algorithm combining dynamic hierarchical clustering and neighborhood interval reorganization. In the ini-tial stage, the algorithm adjusted the hierarchical clustering threshold and iterated to the target cluster based on the principle of minimum inter-cluster distance merging, and then merged the clusters according to the pre-merging coefficient. In the next place it used ant colony system to generate subclass paths, disconnected and reorganized the initial paths to improve the overall convergence speed of the algorithm. Then the algorithm used ant colony system to optimize the solution space, and at the same time, carried out neighborhood interval diffusion reorganization between clusters to increase the diversity of solutions. Furthermore, if the quality of the reconstructed solution was better than the current optimization solution at a fixed number of iterations, the recommendation process would be carried out to improve the accuracy of the solution. When the algorithm stagnated, it introduced an adjustment factor to reduce the differences between pheromones of each path to enhance the ant search ability, which could help the algorithm jump out of the local optimal. The experiment result shows that the accuracy of the algorithm is about 3% when facing large-scale problems, which can effectively improve the accuracy and convergence rate of the solution.

Foundation Support

国家自然科学基金资助项目(61673258,61075115)
上海市自然科学基金资助项目(19ZR1421600)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0556
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 6
Section: Algorithm Research & Explore
Pages: 1666-1673
Serial Number: 1001-3695(2023)06-010-1666-08

Publish History

[2023-01-18] Accepted Paper
[2023-06-05] Printed Article

Cite This Article

张佩, 游晓明, 刘升. 融合动态层次聚类和邻域区间重组的蚁群算法 [J]. 计算机应用研究, 2023, 40 (6): 1666-1673. (Zhang Pei, You Xiaoming, Liu Sheng. Ant colony algorithm based on dynamic hierarchical clustering and neighborhood recombination [J]. Application Research of Computers, 2023, 40 (6): 1666-1673. )

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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