A Improved Immune Genetic Algorithm In Real Estate Company Decision Support Research And Application

ERP system is running after a period of time produced a large amount of historical data. Towards the filtering function of data warehouse, you can put the right information at the right time to provide to the appropriate object, which is the key to business success. Therefore, more and more enterprises begin to build their own data warehouse system. They hope that it can analysis of historical data specific and targeted can plan for enterprise decision support.From the data warehouse definition, this paper discusses the development status of the data warehouse, and analysis ERP based Data analysis Involved in computer technology. Excogitate how to upgrade existing software products by the use of data warehouse technology base on a specific instance. And discuss the application of this technology in the ERP, by the development instance, developed a data warehouse application methods and experience. And summarize the technology.For the deficiency in the immune genetic algorithm, an improved immune genetic algorithm Appeared. The new algorithm uses the affinity calculation between antibodies and antigen, effectively avoid the premature convergence. I am using information entropy calculate choice probability between antibodies; effectively ensure the diversity of antibodies. I introduced the elite crossover strategy to speed up the convergence speed.The algorithm antibodies uses an orderly string encoding aim at a typical data warehouse query model Analysis of a large number of simulation experiments carried out several key parameters on algorithm performance. Simulation test results show that the algorithm can quickly rate in a given range of search and global optimization tasks.