An Empirical Study on Library Readers’ Reading Needs Based on Octopus Optimization Algorithm

The role of the Octopus optimization algorithm in the empirical demonstration of the reading needs of library readers is significant, but there is a problem with the low accuracy of demand analysis. Hierarchical needs analysis cannot solve the problem of the needs of readers in multiple types of libraries, and the demand judgment results are poor. Therefore, this paper proposes an Octopus optimization algorithm to demand a library reader judgment model. Firstly, the reading needs are used to classify the markets, and the demand methods are selected according to the requirements of library readers to realize the preprocessing of needs analysis. Then, according to the degree of Demand, the requirements analysis set is formed, and the parameters are iteratively judged. MATLAB simulations show that the Octopus optimization algorithm among library readers can increase the scale and shorten the Demand The requirements analysis time and the relevant results are better than the hierarchical demand analysis method.