Particle swarm optimization (PSO) is a heuristic global optimization method, proposed
originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used …

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 …

Unsupervised graph-level representation learning has recently shown great potential in a
variety of domains, ranging from bioinformatics to social networks. Plenty of graph …

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 …

Evolutionary algorithms have been demonstrated to be very competitive in the community
detection for complex networks. They, however, show poor scalability to large-scale …

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 …

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 …

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 …

Detecting groups within a set of interconnected nodes is a widely addressed problem that
can model a diversity of applications. Unfortunately, detecting the optimal partition of a …