@article {OA1882,
	title = {A glass furnace operation system using fuzzy modelling and genetic algorithms for performance optimisation},
	journal = {Engineering Applications of Artificial Intelligence},
	volume = {16},
	number = {7-8},
	year = {2003},
	note = {n/a},
	pages = {681{\textendash}690},
	abstract = {<p>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.</p>
},
	url = {http://oa.uninova.pt/1882/},
	author = {J. Pina and PU Lima}
}
