An improved network dismantling strategy based on ant colony algorithm

Yongming Wang (), Shiwen Sun, Zhen Wang (), Li Wang () and Chengyi Xia ()
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Yongming Wang: School of Computer Science and Technology, Tianjin University of Technology, Tianjin 300191, P. R. China
Shiwen Sun: School of Computer Science and Technology, Tianjin University of Technology, Tianjin 300191, P. R. China
Zhen Wang: School of Computer Science and Technology, Tianjin University of Technology, Tianjin 300191, P. R. China
Li Wang: School of Computer Science and Technology, Tianjin University of Technology, Tianjin 300191, P. R. China
Chengyi Xia: School of Artificial Intelligence, Tiangong University, Tianjin 300387, P. R. China

International Journal of Modern Physics C (IJMPC), 2025, vol. 36, issue 03, 1-16

Abstract: Network dismantling, which aims at finding the optimal node sequence whose removal will dismantle the whole network effectively, remains as a hot topic in the research area of complex networks and systems. In this study, an improved network dismantling strategy based on ant-colony optimization algorithm is proposed. Through large quantities of numerical simulations, compared with several classical network dismantling methods, the effectiveness of the proposed strategy is verified. Current results can provide a new perspective for us to comprehend the complexity and optimization of complex networked systems.

Keywords: Complex networks; network dismantling; attack; ant-colony algorithm (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S0129183124502036

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