Research on Iintelligent Auto Generating Test Paper Based on Improved Genetic Algorithm

Test paper and its essence is to solve the multi-objective optimization problem of a multi constraint conditions,based on the research on the mathematical model of test paper,genetic algorithm is improved,the chromosome segment coding,fitness function,to determine the population initialization,adaptive crossover probability and mutation probability adjustment and the best individual preservation strategy such measures,the intelligent test paper method.The results show that,the improved genetic algorithm can better complete the test paper than the traditional genetic algorithm,has higher working efficiency.