Application of Genetic Algorithm in Soft-sensing for Drying System of Al-product Auto-product-line

This paper constructs a soft-sensing model by genetic algorithm for Al-product auto-product-line. The paper deduces the optimum work point and input, and realizes static control and optimum of energy using inner variable and feed-back control. At last, the author illuminates that genetic algorithm has a great advantage comparing with the other traditional ways by application of genetic algorithm in the example.