Research And Application Of Intelligent Test Formation Technology

In this thesis,after referring to the domestic and foreign literature foundation,carries on the thorough analysis to the intelligent test paper algorithm correlation theory and the on-line test system,after has studied the intelligent test paper core question,discovered the traditional genetic algorithm in the test paper application also waits for the optimization in the test paper aspect,finally chooses the way also to wait for the improvement,therefore in view of the above question,proposed one kind of optimized genetic algorithm.After the selection of the test questions,a comparative formula about the proportion of the test questions was added.Select the final paper,in the examination system for the application and implementation.After thinking about and analyzing the related problems of test paper composition,genetic algorithm is used to generate test paper,the mutation operator in genetic algorithm is improved,the test paper composition process of the intelligent test paper composition system is optimized,and the question weight formula is added.Comparing,finally realized the test paper generation scheme based on genetic algorithm.First of all,according to the needs of the test paper,the mathematical model is designed.Secondly,the paper composition system of genetic algorithm is designed.Thirdly,the structure of the system is analyzed,and the core functions of the system are realized.Finally,the function of the system and whether the test papers selected by the system are reasonable are tested.The results are obtained through the analysis of the experimental data.The test results of the data show that the system can generate test papers that meet the constraints set by the questions.