Structural Robustness of Complex Networks: A Survey of A Posteriori Measures [Feature]

Y Lou, L Wang, G Chen - IEEE Circuits and Systems Magazine, 2023 - ieeexplore.ieee.org
Network robustness is critical for various industrial and social networks against malicious
attacks, which has various meanings in different research contexts and here it refers to the …

Advances of metaheuristic algorithms in training neural networks for industrial applications

HY Chong, HJ Yap, SC Tan, KS Yap, SY Wong - Soft Computing, 2021 - Springer
In recent decades, researches on optimizing the parameter of the artificial neural network
(ANN) model has attracted significant attention from researchers. Hybridization of superior …

Robustness analysis of power system under sequential attacks with incomplete information

H Tu, F Gu, X Zhang, Y Xia - Reliability Engineering & System Safety, 2023 - Elsevier
Modern power system demonstrates good performance to withstand a single failure.
However, the recent progress has shown that power system is increasingly threatened by …

Scalable rapid framework for evaluating network worst robustness with machine learning

W Jiang, P Li, T Fan, T Li, C Zhang, T Zhang… - Reliability Engineering & …, 2024 - Elsevier
Robustness is pivotal for comprehending, designing, optimizing, and rehabilitating networks,
with simulation attacks being the prevailing evaluation method. Simulation attacks are often …

Optimizing network attacks by artificial bee colony

M Lozano, C Garcia-Martinez, FJ Rodriguez… - Information …, 2017 - Elsevier
Over the past few years, the task of conceiving effective attacks to complex networks has
arisen as an optimization problem. Attacks are modelled as the process of removing a …

Reinforcement learning approach for robustness analysis of complex networks with incomplete information

M Tian, Z Dong, X Wang - Chaos, Solitons & Fractals, 2021 - Elsevier
Network robustness against sequential attacks is significant for complex networks. However,
it is generally assumed that complete information of complex networks is obtained and …

Edge attack strategies in interdependent scale-free networks

Y Hao, L Jia, Y Wang - Physica A: Statistical Mechanics and its Applications, 2020 - Elsevier
In existing works, the interdependent network reflects the great vulnerability and the study on
its robustness is limited to attacks on nodes. Based on the characteristics of the node and …

Robustness of internet of battlefield things (iobt): A directed network perspective

Y Feng, M Li, C Zeng, H Liu - Entropy, 2020 - mdpi.com
Through the combination of various intelligent devices and the Internet to form a large-scale
network, the Internet of Things (IoT) realizes real-time information exchange and …

Attack and defense strategies in complex networks based on game theory

Y Li, Y Deng, Y Xiao, J Wu - Journal of Systems Science and Complexity, 2019 - Springer
To investigate the attack and defense strategies in complex networks, the authors propose a
two-player zero-sum static game model with complete information which considers attack …

Exact calculation of network robustness

O Lordan, M Albareda-Sambola - Reliability Engineering & System Safety, 2019 - Elsevier
Finding the most critical nodes regarding network connectivity has attracted the attention of
many researchers in infrastructure networks, power grids, transportation networks and …