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A glass furnace operation system using fuzzy modelling and genetic algorithms for performance optimisation
- Source :
-
Engineering Applications of Artificial Intelligence . Oct2003, Vol. 16 Issue 7/8, p681. 10p. - Publication Year :
- 2003
-
Abstract
- 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. [Copyright &y& Elsevier]
- Subjects :
- *GLASS furnaces
*MATHEMATICAL optimization
*EXPERT systems
*ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 09521976
- Volume :
- 16
- Issue :
- 7/8
- Database :
- Academic Search Index
- Journal :
- Engineering Applications of Artificial Intelligence
- Publication Type :
- Academic Journal
- Accession number :
- 11730318
- Full Text :
- https://doi.org/10.1016/j.engappai.2003.10.002