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Model for planning problem of diaphragm caustic soda and its approach based on particle swarm optimization algorithm

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4 Author(s)
Wanliang Wang ; Software College of Zhejiang University of Technology, Hangzhou 310032, China ; Huixu Teng ; Zheng Wang ; Yanwei Zhao

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.

Published in:

Computer Supported Cooperative Work in Design, 2009. CSCWD 2009. 13th International Conference on

Date of Conference:

22-24 April 2009