Title: An evolutionary Lagrange method for batch process optimal design

Authors: Yung-Chin Lin, Yung-Chien Lin, Wen-Cheng Chang, Kuo-Lan Su

Addresses: 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

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.

Keywords: batch process design; Lagrange method; evolutionary algorithms; mixed-integer nonlinear programming; MINLP; optimal design; decision making; manufacturing industry; multiproduct batches.

DOI: 10.1504/IJICA.2011.039592

International Journal of Innovative Computing and Applications, 2011 Vol.3 No.2, pp.88 - 96

Received: 04 Sep 2010
Accepted: 29 Nov 2010
Published online: 21 Mar 2015 *

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