Design of Intelligent Test Paper System Based on Improved Genetic Algorithm
GAO Lingjie
Abstract：Aiming at the problems existing in the test paper speed and quality of the traditional random test paper model,this paper improves the traditional genetic algorithm,and proposes a new intelligent test paper system based on improved genetic algo-rithm.Based on the constraint of the test paper,test paper build mathematical model,and to test individual attribute values are pre-served by genetic encoding method,so as to improve the operation rate,for the test process of knowledge points to the conflict,the variation strategy and cross sectional multi point strategy for optimization,at the same time to solve the problem of population diver-sity,a large the ratio of crossover and mutation strategy,so as to improve the test speed.Finally with the C#language and Mysql da-tabase to achieve the test paper system,greatly improve the quality and speed of the test paper.
Keywords：genetic algorithmintelligent generating test papergenetic codingfitness functiontest paper quality
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 1910-1913 )