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.
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