Multi-objective disintegration of multilayer networks

IF 9.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety Pub Date : 2025-03-26 DOI:10.1016/j.ress.2025.111042

Mingze Qi , Peng Chen , Yuan Liang , Xiaohan Li , Hongzhong Deng , Xiaojun Duan

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引用次数: 0

Abstract

The multiple relationships between nodes in complex systems or the dependencies between multiple subsystems can be effectively represented by multilayer networks. The network disintegration problem seeks to identify a set of nodes whose removal can minimize network performance. Existing research on the disintegration of multilayer networks often focuses on overall network connectivity. This study examines the multi-objective disintegration problem of multilayer networks to find groups of nodes that maximize damage to different layers. The multi-objective optimization model is established, and the nondominated sorting genetic algorithm is improved to solve it. The search efficiency for approximating the Pareto front is enhanced by innovating initial population generation and crossover operation coding methods. Additionally, we employ the technique for order preference by similarity to ideal solution to assess the effectiveness of various multi-objective disintegration strategies. Experiments in the model and real multilayer networks show that the relative optimal strategy in the Pareto solution set can effectively balance the disintegration effect of different layers. This research offers valuable insight into safeguarding infrastructure systems and controlling disease transmission.

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来源期刊

Reliability Engineering & System Safety 管理科学-工程：工业

CiteScore

15.20

自引率

39.50%

发文量

621

审稿时长

67 days

期刊介绍： Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.