Multi_objective model of mixed continuous/batch plants planning problem and its particle swarm optimization algorithm

Authors:
Xinli Xu;Xinhua Dai;Ping Hao;Wanliang Wang
Affiliations:
College of Information Engineering, Zhejiang University of Technology, Hangzhou;College of Information Engineering, Zhejiang University of Technology, Hangzhou;College of Information Engineering, Zhejiang University of Technology, Hangzhou;Software College, Zhejiang University of Technology, Hangzhou, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

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Abstract

A multi-objective, multi-level, multi-product, multi-constraint batch planning problem is abstracted from production of diaphragm caustic soda, and the problem is formulated as a mathematic optimization model with constraints involved resources, work manufacture processes and production capacity etc. Some sub_objectives were considered in the problem model, such as total profit amount, profit margin, total energy wastage and wastage per ten thousand RMB. A modified particle swarm optimization algorithm with a percent-coding and dynamic-bounds coding scheme is proposed for the problem. The validity and flexibility of the model and algorithm are verified by calculating the data from production practices numerically.