With the continuous expansion of regionalized project dataises an increasing demand for real-time queries. Consequently, a novel approach to real-time queryngptimization for regional project data, based onproposednced genetic algorithm, is introduced.thm.sThishodthodology employs multiple sets totconstruct aicalhematical modelying regional regional project data, delineating data query relationships, representing the data query space using a connection tree, enhancing the genetic algorithm with the FCM clustering method, utilizing the improved genetic algorithm to explore the optimal query connection tree within the query space, thus achieving real-time query optimization for regional project data. Empirical evidence showcases a marked improvement in both the query rate and hit rate of regionalized project data, making it well-suited for real-time query optimization in this context.