Research on Intelligent Generating Test Paper Based on an Improved Genetic Algorithm

This paper proposes an intelligent algorithm to generating test paper based on genetic algorithm, and provides a set of schemes of making papers of different degree of difficulties display in normal distribution. The algorithm adopts a new decimal system of subsection code, improves the traditional method of initializing the population and optimizes course of search. The experiment proves that this algorithm has better performance thus is more practical.