Evolutionary algorithm based corrective process control system in glass melting process

Authors:
Hosang Jung;F. Frank Chen
Affiliations:
Samsung Economic Research Institute, Seoul, South Korea;University of Texas at San Antonio, Department of Mechanical Engineering, San Antonio, TX
Venue:
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Year:
2007

Citing 4
Cited 0

Case-based reasoning

Case-based reasoning
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence

Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
A computerized causal forecasting system using genetic algorithms in supply chain management

Journal of Systems and Software
Genetic algorithms and fuzzy control: a practical synergism for industrial applications

Computers in Industry

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents the corrective process control system for achieving a target quality level in glass melting processes. Since automated data collection devices would monitor and log process attributes that are assumed to correlate to a quality level in the glass melting process, appropriate process control logics utilizing the collected data are definitely needed. In this paper, an evolutionary algorithm based search logic is newly proposed. The objective of the proposed logic is to find the best process condition composed of the process attributes which can generate the target quality level. The proposed logic tries to find the best process condition that needs to satisfy the following two criteria: 1) a process condition should require minimal changes from the current setting of the process attributes; and 2) a process condition can generate the exact or closest value against the target quality level. A case study and a developed process control system are presented.