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Multi‐objective dynamic optimization of semi‐batch polymerization processes
Author(s) -
Martins da Silva Cláudia,
Chalbaud Biscaia Evaristo
Publication year - 2004
Publication title -
macromolecular symposia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 76
eISSN - 1521-3900
pISSN - 1022-1360
DOI - 10.1002/masy.200450223
Subject(s) - dispersity , polymerization , mathematical optimization , styrene , computation , materials science , polymer , monomer , computer science , nonlinear system , process engineering , mathematics , copolymer , algorithm , polymer chemistry , engineering , physics , quantum mechanics , composite material
Abstract An improved evolutionary algorithm is proposed to perform multi‐objective dynamic optimization of a semi‐batch styrene polymerization process. The target is to determine the optimal feeding trajectories and the reactor operating temperature, which maximize the monomer conversion rate and minimize the initiator residue concentration in the final product. The optimization problem has been formulated as a multi‐objective mixed‐integer nonlinear problem (MOMINLP). The proposed approach allows the effective computation of the optimal operating strategies for the production of polymers with the average molecular weight and the polydispersity index required.