DQN-driven Multi-Objective Evolutionary Scheduling for Distributed Hybrid Flow Shops with Worker Fatigue

This is like an automated air-traffic controller for a factory: it continuously decides which job should go to which machine and which worker, while also watching how tired workers are, so that production is fast, on time, and fair without overworking people.