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2009 13th International Conference on Computer Supported Cooperative Work in Design
Model for planning problem of diaphragm caustic soda and its approach based on particle swarm optimization algorithm
Santiago, Chile
April 22-April 24
ISBN: 978-1-4244-3534-0
Wanliang Wang, Software College of Zhejiang University of Technology, Hangzhou 310032, China
Huixu Teng, Software College of Zhejiang University of Technology, Hangzhou 310032, China
Zheng Wang, Software College of Zhejiang University of Technology, Hangzhou 310032, China
Yanwei Zhao, The MOE Key Laboratory of Mechanical manufacture and Automation, Zhejiang University of Technology Hangzhou310032, China
A multi-stage, multi-product, multi-constraint, and mixed continuous/batch plants planning problem is abstracted from production of diaphragm caustic soda, and the problem is formulated as a mathematic optimization model based on the objective to maximize the total profit with constraints involved resources, work manufacture processes and production capacity etc. An approach based on particle swarm optimization algorithm (PSO) with proportion-coding and dynamic-bounds coding scheme (PDCS) is proposed for the model. The validity and flexibility of the model and algorithm are verified by calculating the data from a real-world application.
Citation:
Wanliang Wang, Huixu Teng, Zheng Wang, Yanwei Zhao, "Model for planning problem of diaphragm caustic soda and its approach based on particle swarm optimization algorithm," cscwd, pp.56-61, 2009 13th International Conference on Computer Supported Cooperative Work in Design, 2009
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