Modified approximation based optimization method in application to the optimization of laminar cooling of DP steel rolled strips

摘要

The paper deals with the problem of long computing times during optimization of real processes. All commonly used optimization methods search for optimal solution in iterative way. Therefore, they require many simulations of the model of optimized process. In case of numerous processes (e.g. metallurgical) the models are often complex and require time consuming numerical computations. This cause that optimization time may be unacceptable high. This is the reason why new optimization methods which need less simulation runs are searched. The main goal of the paper is to present a new, more efficient approximation based optimization method. The elaborated method was validated using frequently employed benchmark functions and applied in optimization of laminar cooling of rolled DP steel strips process.