Batch Process Optimal Design by a Mixed-Integer Evolutionary Algorithm

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 nonlinear programming (MINLP) problem. In this paper, we propose a mixed-integer evolutionary...

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Bibliographic Details
Main Authors: Yung-Chien Lin, Yung-Chin Lin, Kuo-Lan Su
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Computer aided manufacturing
Decision making
Evolutionary computation
Manufacturing industries
Optimal control
Paper technology
Process control
Process design
Production
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Summary: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 nonlinear programming (MINLP) problem. In this paper, we propose a mixed-integer evolutionary algorithm 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.
DOI:10.1109/ICICIC.2009.124