基于狮群算法和特征映射的电网关系型数据库查询数字化优化方法OA

The single grid relational database data feature increases the limitations of query conditions,making it difficult to spe-cifically analyze frequency and entropy features,and resulting in a relatively high cost of practical application in the query process.Therefore,a digital optimization method for grid relational database queries based on lion swarm algorithm and feature mapping is designed.The data cleaning and standardization calculations are performed on the grid relational database.The fre-quency and entropy features of data in grid relational database are extracted,and the feature mapping is performed,With the support of lion swarm algorithm,the process of grid relational database queries is selected,crossed and mutated.A query mod-el is built to screen the better query conditions,analyze and process the grid relational database and practical and feasible digital optimization strategies for grid relational database queries are solved.The experimental results show that after applying the proposed method,the query volume increases,the relative cost is reduced,and the optimization effect is excellent.