A deep reinforcement learning based multi-objective optimization for the scheduling of oxygen production system in integrated iron and steel plants

Gelegen Che,Yanyan Zhang,Lixin Tang,Shengnan Zhao

Applied Energy（2023）

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摘要

•A novel multi-objective optimization model for oxygen production systems.•A novel DRL-MOEA method for improving the solving efficiency of MOEA.•A surrogate model for training agents of DRL-MOEA in a short time.•Analyses of operation cost and operation mode transition in tradeoff terms.•Analyses of schedules in flexible demand and various electricity prices schemes.

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关键词

Oxygen production system,Production scheduling,Multi-objective optimization,Deep reinforcement learning,Evolutionary algorithm

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