Objective-Specific Multi-Agent Reinforcement Learning for Dynamic Multi-Objective Cooperative Optimization in Industrial Processes
Dynamic industrial processes operate in time-varying environments with conflicting objectives, making realtime optimization difficult. Traditional scalarization methods use fixed objective weights and fail when conditions change. Evolutionary multi-objective algorithms can approximate the Pareto front but are too compu...