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Granger causality-guided dynamic multiobjective operation optimization for batch polymerization process
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DOI：10.1016/j.jmsy.2026.06.008.png)
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Abstract
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• A dynamic multiobjective optimization model is built for batch polymerization. • A Granger causality-guided dynamic multiobjective algorithm is proposed. • The proposed algorithm keeps viscosity error below 10% on industrial data.
Keywords:
Batch polymerization process
Granger causality
Dynamic multiobjective operation optimization
Viscosity error
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14.2
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