Dynamic multi-objective optimization and fuzzy AHP for copper removal process of zinc hydrometallurgy
Author:
Funder
Natural Science Foundation of Hunan Province
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Software
Reference53 articles.
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3. Optimizing zinc electrowinning processes with current switching via deep deterministic policy gradient learning;Shi;Neurocomputing,2020
4. Hybrid intelligence assisted sample average approximation method for chance constrained dynamic optimization;Zhou;IEEE Trans. Ind. Inf.,2020
5. Fractional order fuzzy PID optimal control in copper removal process of zinc hydrometallurgy;Zhang;Hydrometallurgy,2018
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