Optimal control of continuous system using genetic algorithms

유전 알고리듬을 이용한 연속 공정의 최적 제어

  • Lee, Moo-Ho (Dept. of Chemistry Engineering, Pohang University of Science and Technology) ;
  • Han, Chonghun (Dept. of Chemistry Engineering, Pohang University of Science and Technology) ;
  • Chang, Kun-Soo (Dept. of Chemistry Engineering, Pohang University of Science and Technology)
  • 이무호 (포항공과대학교 화학공학과, 지능자동화연구센터) ;
  • 한종훈 (포항공과대학교 화학공학과, 지능자동화연구센터) ;
  • 장근수 (포항공과대학교 화학공학과, 지능자동화연구센터)
  • Published : 1997.02.01

Abstract

The optimal control of a continuous process has been performed using genetic algorithms(GAs). GAs are robust and easily applicable for complex and highly nonlinear problems. We introduce the heuristics 'dynamic range' which reduces the search space dramaticaly keeping the robust search of GAs. GAs with dynamic range show the better performance than SQP(Successive Quadratic Programing) method which converges to a local minimum. The proposed methology has been applied to the optimal control of the continuous MMA-VA copolymerization reactor for the production of the desired molecular wieght and the composition of VA in dead copolymer.

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