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Influence Maximization in Hypergraphs Using A Genetic Algorithm with New Initialization and Evaluation Methods
Influence maximization (IM) is a crucial optimization task related to analyzing complex networks in the real world, such as social networks, disease propagation networks, and marketing networks.
Improving Critical Node Detection Using Neural Network-based Initialization in a Genetic Algorithm
The Critical Node Problem (CNP) is concerned with identifying the critical nodes in a complex network.
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations
The evolved local explanations on four images, randomly selected from ImageNet, are presented, which show that the evolved local explanations are straightforward to be recognised by humans.
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