Aiming at the problems of low storage efficiency, high execution cost, and high energy consumption of traditional regional public management evaluation indexes, a regional public management evaluation index system based on genetic algorithm is constructed. This paper processes the data of regional public management resources and constructs the evaluation index system model of regional public management under the environment of genetic algorithm, find the parallel points through the classification principle of genetic algorithm, and realize the regional public management resource data classification based on genetic algorithm. Based on this, the extended genetic algorithm is introduced to dynamically expand the storage node to back up the data of the inner node. Through the multithreshold image processing method, the data can be evenly stored in multiple nodes, and the construction of regional public management evaluation index system based on genetic algorithm is realized. The implementation results show that the proposed method can ensure the effective storage of regional public management resource data with high efficiency and low cost.