An evolutionary Lagrange method for batch process optimal design

Authors:
Yung-Chin Lin;Yung-Chien Lin;Wen-Cheng Chang;Kuo-Lan Su
Affiliations:
Department of Electrical Engineering, National Yunlin University of Science and Technology, 123, Sec. 3, University Rd., Douliou, Yunlin 64002, Taiwan.;Department of Electrical Engineering, WuFeng University, 117, Sec. 2, Chiankuo Rd., Minhsiung, Chiayi County 62153, Taiwan.;Department of Electrical Engineering, WuFeng University, 117, Sec. 2, Chiankuo Rd., Minhsiung, Chiayi County 62153, Taiwan.;Department of Electrical Engineering, National Yunlin University of Science and Technology, 123, Sec. 3, University Rd., Douliou, Yunlin 64002, Taiwan
Venue:
International Journal of Innovative Computing and Applications
Year:
2011

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Abstract

The optimal design of the multiproduct batch processes is one of the most important decision-making problems in the manufacturing industry. This decision-making problem can be formulated as a mixed-integer non-linear programming (MINLP) problem. In this paper, we propose an evolutionary Lagrange method to deal with such an MINLP problem. The computational results demonstrate the effectiveness of the algorithm in solving the optimal design problem of the multiproduct batch processes.