%0 Journal Article %J Engineering Applications of Artificial Intelligence %D 2003 %T A glass furnace operation system using fuzzy modelling and genetic algorithms for performance optimisation %A J. Pina %A PU Lima %P 681–690 %U http://oa.uninova.pt/1882/ %V 16 %X

An architecture for the operation of a recuperative-type glass furnace is introduced in this paper. It is based on a hierarchical scheme, with two main parts: process optimisation and process modelling. Process optimisation is carried out by an expert controller, and uses genetic algorithms to solve a multiobjective optimisation problem. Process modelling is performed by a learning system, based on a fuzzy learning-by-examples algorithm. Results of real and simulated experiments with the glass manufacturing process are presented.

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