Design of Auto-generating Examination Paper Algorithm Based on Hybrid Genetic Algorithm

With the popularization of informationization teaching, the item bank system becomes a significant instrument for assistant teaching and plays a key role in improving the quality of teaching. This research analyses the shortcomings of the exiting item bank system in examination paper on the background of Chinese education. A design of auto-generating examination paper algorithm based on hybrid genetic algorithm is proposed to reduce the one-sided and subjective phenomenon in testing paper. Firstly, this paper establishes a mathematical model based on the attributes to be studied of testing paper and adds corresponding constraints to the model. Then, the genetic algorithm incorporates some features for testing paper and optimizes the global non-convergence and precocious phenomena by combining simulated annealing algorithm. Finally, the feasibility and effectiveness of the new algorithm paper model is verified, which can provide reference for promoting the intelligent and efficient development of teaching.