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

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4 Author(s)
Xinli Xu ; Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou, China ; Xinhua Dai ; Ping Hao ; Wanliang Wang

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.

Published in:

Control and Decision Conference, 2009. CCDC '09. Chinese

Date of Conference:

17-19 June 2009