Finding influential nodes in multiplex networks using a memetic algorithm
In order to find the nodes with better propagation ability, a large body of studies on the
influence maximization problem has been conducted. Several influence spreading models …
influence maximization problem has been conducted. Several influence spreading models …
A computationally efficient evolutionary algorithm for multiobjective network robustness optimization
The robustness of complex networks is of great significance. Great achievements have been
made in robustness optimization based on single measures, however, such networks may …
made in robustness optimization based on single measures, however, such networks may …
A Memetic algorithm for determining robust and influential seeds against structural perturbances in competitive networks
S Wang, X Tan - Information Sciences, 2023 - Elsevier
The influence maximization problem has attracted increasing attention in previous studies.
Recent years have witnessed an enormous interest in the modeling, performance …
Recent years have witnessed an enormous interest in the modeling, performance …
Designing comprehensively robust networks against intentional attacks and cascading failures
S Wang, J Liu - Information Sciences, 2019 - Elsevier
Networked systems exist broadly in daily life and have been greatly emphasized in recent
studies. Since these networks are always exposed in complicated environments and may …
studies. Since these networks are always exposed in complicated environments and may …
Surrogate-assisted robust optimization of large-scale networks based on graph embedding
Robust optimization of complex networks has attracted much attention in recent years.
Although existing methods have been successful in achieving promising results, the …
Although existing methods have been successful in achieving promising results, the …
Finding robust influential seeds from networked systems against structural failures using a niching memetic algorithm
S Wang, X Tan - Applied Soft Computing, 2023 - Elsevier
There has been a growing interest in analyzing the dynamics and characteristics of
networked systems, and the influence maximization problem is a recent hotspot to determine …
networked systems, and the influence maximization problem is a recent hotspot to determine …
A multi-factorial evolutionary algorithm with asynchronous optimization processes for solving the robust influence maximization problem
The complex network has attracted increasing attention and shown effectiveness in
modeling multifarious systems. Focusing on selecting members with good spreading ability …
modeling multifarious systems. Focusing on selecting members with good spreading ability …
Constructing robust community structure against edge-based attacks
The community structure often represents potential functionalities of systems and plays a
crucial role in realistic applications. As indicated by previous studies, it is of significance to …
crucial role in realistic applications. As indicated by previous studies, it is of significance to …
A multi-objective evolutionary algorithm for promoting the emergence of cooperation and controllable robustness on directed networks
S Wang, J Liu - IEEE Transactions on Network Science and …, 2017 - ieeexplore.ieee.org
The directedness of links is of significance in complex networks, and much attention has
been paid to study the dynamics of directed networks recently. In networked systems, where …
been paid to study the dynamics of directed networks recently. In networked systems, where …
Robustness evaluation of multipartite complex networks based on percolation theory
To investigate the robustness of complex networks in face of disturbances can help prevent
potential network disasters. Percolation on networks is a potent instrument for network …
potential network disasters. Percolation on networks is a potent instrument for network …