Research on Improving the Optimization System of Agricultural and Forestry Resource Allocation Management Measures by Using Multi-Objective Optimization Algorithm

At present, there are some problems in the use of forestry resource database, such as large amount of data and data centralization, which leads to the low efficiency of the system. Therefore, an application software platform for forestry informatization is built based on optimized Hadoop cluster. The system consists of four parts: permission management, file management, interface management and data processing. In this paper, a control strategy FDMDR is designed, which implements dynamic copy management according to user access frequency. A method of file access frequency limit based on DMDR is proposed, and the data in the system is processed dynamically. The experiment proves that the system can integrate traditional files, images, videos and other contents organically. The system has achieved a better integration of traditional agricultural information resources. It has good performance and scalability.