Intelligent optimization control combines intelligent optimization and intelligent control in order to optimize the local or global performance of control systems; it provides an effective way to solve control problems in complex systems. In this paper, a fuzzy logic controller is employed based on the genetic algorithm for control rules in a water curtain cooling system. Simulation results and industrial experiments indicate that fuzzy logic control based on the genetic algorithm optimization for the water curtain cooling process of accelerating steel is effective using this control model.
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