Dynamic optimization of batch emulsion polymerization using MSIMPSA, a simulated-annealing-based algorithm

R. M. Lima, G. François, B. Srinivasan, R. L. Salcedo*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


The aim of this paper is to present an approach to dynamic off-line optimization of batch emulsion polymerization reactors using a stochastic optimizer. The control objective is to find the optimal temperature profile that minimizes the final batch time constrained by the final conversion and molecular weight. In this study, we evaluate the applicability of MSIMPSA, a simulated-annealing-based algorithm, to solve the optimal control problem. Two cases are studied: first, a simple case without energy balances and, second, a more realistic case using energy balances and constraints on heat transfer. In addition, an SQP optimizer was applied to perform a local optimization around the best results obtained by MSIMPSA. The following conclusions can be drawn from the results: (i) MSIMPSA can be applied in an easy and straightforward manner (black-box approach) to such optimal control problems. (ii) Even though MSIMPSA is a stochastic algorithm, the best obtained solution is so good that it cannot be further improved by local optimization methods.

Original languageEnglish (US)
Pages (from-to)7796-7806
Number of pages11
JournalIndustrial and Engineering Chemistry Research
Issue number24
StatePublished - Nov 24 2004
Externally publishedYes

ASJC Scopus subject areas

  • General Chemistry
  • General Chemical Engineering
  • Industrial and Manufacturing Engineering


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