Discrete vs. continuous multiobjective optimization of continuous casting of steel

Authors:
Miha Mlakar;Tea Tušar;Bogdan Filipić
Affiliations:
Jožef Stefan Institute, Ljubljana, Slovenia;Jožef Stefan Institute, Ljubljana, Slovenia;Jožef Stefan Institute, Ljubljana, Slovenia
Venue:
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Year:
2012

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Abstract

Continuous casting is a widely used steel production process. To yield high-quality steel, the casting parameters have to be tuned with respect to several contradictory criteria. We approached this multiobjective optimization problem in discrete and continuous variants, applying Exhaustive Search (ES) and Differential Evolution for Multiobjective Optimization (DEMO) on the discrete variant, and DEMO on the continuous variant. We analyzed the results in view of effectiveness and efficiency and showed that the most suitable way to solve this optimization problem is to apply the stochastic optimization approach on the finest reasonable discretization.