A multi-factorial evolutionary algorithm concerning diversity information for solving the multitasking Robust Influence Maximization Problem on networks

A multi-factorial evolutionary algorithm concerning diversity information for solving the multitasking Robust Influence Maximization Problem on networks

ABSTRACTIn recent years, one of the prominent research areas in the complex network field has been the Influence Maximization Problem. This problem focuses on selecting seed sets to achieve optimal information propagation across networks. Practical networks often encounter challenges like node or li...

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Bibliographic Details
Main Authors: Minghao Chen, Shuai Wang, Jiazhong Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Connection Science
Subjects:
Complex networks
influence maximisation problem
robustness
evolutionary algorithm
multitasking optimisation
Online Access:https://www.tandfonline.com/doi/10.1080/09540091.2023.2275534

Internet

https://www.tandfonline.com/doi/10.1080/09540091.2023.2275534

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