This study proposes a strategy based on an improved harmony search algorithm to improve the success rate and quality of intelligent test paper generation in English tests. The objective optimization function of intelligent test paper generation is established and then solved by the harmony search algorithm. After that, the harmony search algorithm is improved. Finally, an example for intelligent test paper generation is analyzed. The results indicate that the improved algorithm achieves a high success rate and good quality of intelligent test paper generation. Additionally, the proposed strategy outperforms its counterparts.