Research on Intelligent Algorithms Based on Computer Big Data Technology

An intelligent search method based on PSO is proposed. By weighting the proportion of the difference between the current fitness and the largest fitness in the whole particle population, the position of the particle in the global optimal location is determined. This method can improve the existing search engine cannot accurately obtain the required information from the user, so as to greatly improve the search efficiency. This paper aligns data between the client database and the server database. The database of the client is constructed and the file tree of the client is created. It greatly reduces the interaction between client and server. The effectiveness of the proposed algorithm is verified by simulation experiments. It can work out the optimal scheduling scheme for multiple tasks in the cloud computing environment.