Taking the float-wall structure as the object of study

neural network and genetic algorithm were used to settle synchronistically the optimization of cooling structures and install position.Using genetic algorithm to perform cooling structures and install position optimization

and taking the result of install position optimization as the foundation of cooling structures optimization

thus finally realized the synchronized optimizations of cooling structures and install position.In order to enhance the efficiency of algorithm

neural network was used to perform mapping on the result of install position optimization so as to replace its optimization processes.The result of calculating example shows that the method being mentioned is highly active

accurate and possesses good application value to engineering.