Research Index

A novel framework combining bio-inspired multi-agent systems with deep reinforcement learning for optimizing EV charging networks. The system uses MAS-GPT for agent coordination and implements nature-inspired optimization for both energy distribution and charging station placement, while considering real-time grid constraints and user behavior patterns.