Research on Computer Intelligent Test Paper Generation for English Test Based on Genetic Algorithm

Intelligent test paper generation is the core of online examinations, based on a test bank, which generates test papers efficiently and quickly through simple operations. Commonly used algorithms for intelligent test paper generation include randomised algorithms, back-testing methods and genetic algorithms. Simple randomized test paper generation method and backtracking algorithm have the disadvantage of too strong randomness, and it is difficult to ensure that the generated test papers meet the requirements. Using computer simulation and the problem solving process, with the characteristics of strong global optimization, overcomes the limitations of the traditional randomized test paper generation method and solves the problem of intelligent test paper generation in a scientific and reasonable way. The university English web-based examination system must continue to advance and needs to focus on solving the problem of intelligent test paper generation. The findings of this paper, which shorten the time used to extract test questions, are important in promoting English teaching reform.