In today's world, the interconnections among objects in many domains are often modeled as
networks, with nodes representing the objects and edges the existing relationships among …

Sensibly highlighting the hidden structures of many real-world networks has attracted
growing interest and triggered a vast array of techniques on what is called nowadays …

Path planning is a complicated optimization problem that is crucial for the safe flight of
unmanned aerial vehicles (UAVs). Especially in the scenarios involving multiple UAVs, this …

Influence maximization in social networks aims to find a small group of individuals, which
have maximal influence cascades. In this study, an optimization model based on a local …

In this article, we first propose a graph neural network encoding method for the
multiobjective evolutionary algorithm (MOEA) to handle the community detection problem in …

Three-dimension path planning of uninhabited combat aerial vehicle (UCAV) is a
complicated optimal problem, which mainly focused on optimizing the flight route …

Community structure is an interesting feature of complex networks. The problem of
community detection has attracted many research efforts in recent years. Most of the …

Kmeans clustering algorithm is an iterative unsupervised learning algorithm that tries to
partition the given dataset into k pre-defined distinct non-overlap** clusters where each …

Targeted immunization is a commonly used strategy in preventing epidemic spreading.
Traditional methods immunize targeted nodes based on specific global or local network …

Uncovering community structures of a complex network can help us to understand how the
network functions. Over the past few decades, network community detection has attracted …