基于粒子群优化的数据库信息远程共享仿真

Remote Sharing Simulation of Database Information Based on Particle Swarm Optimization

为了改善在远程共享时,易出现的实时性差以及数据信息安全性能低问题,提出一种基于粒子群优化的数据库信息远程共享方案。根据网络实时环境及数据库信息特征整理,构建整体远程共享构架,使用粒子群优化法计算数据库信息中目标函数,将待实现优化的数据库作为粒子,实施初始化参数操作,并采取分组形式实现粒子运动位置的实时更新,再将最优粒子替换较差粒子,直到全部信息符合共享条件,最优信息经过数字转换机制实现格式转换,输入到具有兴趣约束的远程共享平台中,完成信息的远程共享。仿真结果证明,所提方法可实施性强且共享整体效率较高,有效保证数据库信息安全。

A database information remote sharing scheme based on particle swarm optimization was designed for improving the real-time performance and data information security during remote sharing. The framework of overall remote sharing was constructed via network real-time environment and database information feature sorting. Particle swarm optimization was introduced to calculate the objective function in the database information. The database to be optimized was utilized as a particle to implement the initialization parameter operation. Based on the grouping form, the real-time update of particle motion position was achieved. The optimal particle was replaced by poor ions until all the information met the sharing conditions. According to the digital conversion mechanism, the optimal information was format converted, and then the result was input into the remote sharing platform with interest constraints. Eventually, the remote sharing of information was completed. The simulation results show that this method has high overall sharing efficiency and information security.