Multi-Objective Hybrid Intelligent Optimization of Operational Indices for Industrial Processes and Application

Chai, Tianyou and Ding, Jinliang and Wang, Hong (2011) Multi-Objective Hybrid Intelligent Optimization of Operational Indices for Industrial Processes and Application. In: 18th IFAC World Congress, August 28 - September 2, 2011, Milano, Italy. (Submitted)

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Abstract

To pursuit the plant-wide optimization of multiple units industrial process, a hybrid intelligent optimization approach under dynamic environment is proposed. The objective of optimization is that the production indices de�ned as the performance related to the �nal product quality, yield, energy and material consumption fall into their target ranges; whilst the decision variables are operational indices of each unit, which is related to units� intermediate product quality, e�ciency and consumption. In this context, the domain knowledge of process engineers are mimicked and combined with the framework in terms of feedback, prediction and feed-forward schemes so as to realize the required optimization. The e�ectiveness of the proposed approach has been demonstrated by the practical application results.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Process optimisation, Expert systems in process industry, Advanced process control
Subjects:	MSC 2010, the AMS's Mathematics Subject Classification > 49 Calculus of variations and optimal control; optimization MSC 2010, the AMS's Mathematics Subject Classification > 93 Systems theory; control
Depositing User:	Mr Houman Dallali
Date Deposited:	13 Apr 2011
Last Modified:	20 Oct 2017 14:12
URI:	https://eprints.maths.manchester.ac.uk/id/eprint/1604

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