Data Mining and Its Applications for High-rise Structure Intelligent Form-optimization Based on Genetic Algorithm

First, the engineering case space, the case rule space and the case gene space are established, so is the relationship between them, thus laying the foundation for handling the engineering cases on the genetic level. Second, a genetic algorithm (GA)-based data mining method and its characteristics are introduced, providing the basis for mining knowledge of high-rise structural intelligent form optimization (IFO). Finally, a mining strategy of the method is presented, a fitness function is made and at last a data mining program is worked out. This program is to be applied to data mining of high-rise structural IFO to acquire some optimization information on reinforced concrete (RC) structural forms. It is proved that this method can be effectively automatic in accessing a structural form-generating rule database from the engineering cases, providing a new method for mining the ´rich resources´ of engineering cases, solving the ´bottleneck´ problem of knowledge acquirement and improving both the quality and efficiency of structural form optimization