Title
Preliminary Numerical Experiments in Multiobjective Optimization of a Metallurgical Production Process
Abstract
This paper reports on preliminary numerical experiments in optimizing coolant flows in continuous casting of steel with respect to multiple objectives. For this purpose, Differential Evolution for Multiobjective Optimization (DEMO) coupled with a reliable numerical simulator of the casting process was applied. The algorithm parameters were initially tuned to balance between the quality of the expected results and the computational cost of the optimization process. Afterwards, suitable sets of coolant flow settings were calculated under conflicting requirements for minimum temperature deviations and predefined core length in the caster. In contrast to solutions produced in single-objective optimization, approximation sets of Pareto optimal fronts obtained in multiobjective optimization provide more information to metallurgists and allow for better insight into the casting process. Povzetek: ˇ Clanek obravnava nastavljanje pretokov hladila v industrijskem kontinuiranem ulivanju jekla kot veckriterijski optimizacijski problem in ga reöuje z evolucijskim algoritmom DEMO.
Year
Venue
Keywords
2007
Informatica (Slovenia)
product quality,continuous casting of steel,differential evolution,process parameters,multiobjective optimization,numerical simulation,production process
Field
DocType
Volume
Mathematical optimization,Computer science,Scheduling (production processes),Multi-objective optimization,Metallurgy
Journal
31
Issue
Citations 
PageRank 
2
7
0.79
References 
Authors
5
3
Name
Order
Citations
PageRank
Bogdan Filipic136126.93
Erkki Laitinen25312.68
Tea Tusar318119.91