A Reinforcement Learning-Driven Multi-Agent Cooperative Grey Wolf Algorithm for Influence Maximization
Influence maximization (IM) in social networks aims to identify the optimal set of seed nodes that maximizes influence spread under a given diffusion model. The standard Grey Wolf Optimizer (GWO) suffers from two fundamental limitations when applied to this problem: an inflexible exploration–exploitation transition con...