Guangzhi Qu

MORL-CA: Dynamic Multi-Objective Reinforcement Learning for Chlor-Alkali Process Optimization Under Time-Varying Conditions

Chlor-alkali production is a large-scale industrial process whose operating conditions and equipment states evolve over time. Its process optimization requires ongoing trade-offs among conflicting objectives such as product yield, energy consumption, and equipment life. Existing optimization approac