- author = "Michael Kommenda and Gabriel Kronberger and Stephan Winkler and Michael Affenzeller and Stefan Wagner and Leonhard Schickmair and Benjamin Lindner",
- title = "Application of Genetic Programming on Temper Mill Datasets",
- booktitle = "2nd International Conference on Logistics and Industrial Informatics, LINDI 2009",
- year = "2009",
- month = sep,
- pages = "1--5",
-
abstract = "Temper rolling is essential for the quality of steel
sheets. The degree of temper rolling determines the
mechanical properties of the steel sheet and is highly
influenced by the rolling force or strip tension. Since
mathematical models generate unsatisfactory results for
the calculation of these two process parameters, other
methods for the presetting of tempers mills must be
used. The parameter presetting of temper mills is of
prime importance because it reduces the effort of
tuning these parameters later. Hence, the production
costs are reduced by minimizing the amount of wasted
material that does not fulfill the quality
requirements.
Genetic programming (GP) is an evolutionary inspired and population based modeling technique and has been successfully applied in different contexts. In this paper we present first results of advanced genetic programming concepts on large datasets from a temper mill in comparison to linear regression (LR), support vector machines (SVMs) and previous analysis on the datasets. The use of GP shows an improvement compared to previous work, but is still inferior to models obtained by SVMs. A major advantage of GP compared to support vector machines is that the identified models are mathematical formulae which can be interpreted and enable knowledge generation about the temper rolling process.",
- keywords = "genetic algorithms, genetic programming, evolutionary inspired based modeling technique, linear regression analysis, mathematical model, mechanical properties, population based modeling technique, steel sheet quality, strip tension, support vector machines, temper mill dataset, temper rolling, data handling, hot rolling, production engineering computing, rolling mills, sheet metal processing, tempering",
-
DOI = "
doi:10.1109/LINDI.2009.5258766",
- notes = "Also known as \cite{5258766}",
