In search for an efficient parameter tuning method for steel casting

Bioinspired Optimization Methods and their Applications - Proceedings of the International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2004

Volumn , Issue , 2004, Pages 83-94

  Robič, Tea ^a   Filipič, Bogdan ^a  

^a JO EF STEFAN INSTITUTE   (Slovenia)

Author keywords

Comparative study; Conjugate gradient; Continuous casting of steel; Differential evolution; Downhill simplex; Evolutionary algorithms; Local optimization; Numerical optimization methods; Process simulator

Indexed keywords

COMPARATIVE STUDIES; CONJUGATE GRADIENT; DIFFERENTIAL EVOLUTION; DOWNHILL SIMPLEX; LOCAL OPTIMIZATIONS; NUMERICAL OPTIMIZATIONS; PROCESS SIMULATORS;

CONJUGATE GRADIENT METHOD; CONTINUOUS CASTING; COST FUNCTIONS; EVOLUTIONARY ALGORITHMS; METALLURGY; STEEL CASTINGS; STEELMAKING;

OPTIMIZATION;

EID: 29844446409     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. N. Chakraborti, R. Kumar, and D. Jain. A study of the continuous casting mold using a pareto-converging genetic algorithm. Applied Mathematical Modelling, 25:287-297, 2001.
2. N. Chakraborti, R.S.P. Gupta, and T.K. Tiwari. Optimisation of continuous casting process using genetic algorithms: Studies of spray and radiation cooling regions. Ironmaking and Steelmaking, 30:273-278, 2003.
3. N. Cheung and A. Garcia. The use of a heuristic search technique for the optimization of quality of steel billets produced by continuous casting. Engineering Applications of Artificial Intelligence, 14:229-238, 2001.
4. B. Filipič and B. Šarler. Evolving parameter settings for continuous casting of steel. In: Proceedings of the 6thEuropeanConferenceon IntelligentTechniques and Soft Computing EUFIT'98, Aachen, Germany, 1998, Vol. 1, pp. 444-449.
5. D.E. Goldberg. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, Reading, 1989.
6. J.H. Holland. Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, 1975.
7. J.A. Nelder and R. Mead. A simplex method for function minimization. Computer Journal, 7:308-313, 1965.
8. W.H. Press. Numerical Recipes in Pascal: The Art of Scientific Computing. Cambridge University Press, New York, 1989.
9. K.V. Price and R. Storn. Differential evolution - a simple evolution strategy for fast optimization. Dr. Dobb's Journal, 22(4):18-24, 1997.
10. K.V. Price and R. Storn. Differential evolution homepage (http://www.icsi.berke-ley.edu/~storn/code.html).
11. J.R. Shewchuk. An introduction to the conjugate gradient method without the agonizing pain. Technical report, School of Computer Science, Carnegie Mellon University, Pittsburgh, 1994 (http://www.cs.cmu.edu/~jrs/jrspapers.html).
12. B. Šarler. Numerical procedure for calculating temperature field in continuous casting of steel. Metals, Alloys, Technologies, 30:217-223, 1996.