Research of intelligent test paper generation based on improved genetic algorithm

To settle the problem of intelligent test paper generation more effectively,according to the characteristics of automatic control theory in application-oriented school,a test database and mathematical model for intelligent test paper generation is set up.Meanwhile,a new algorithm is proposed based on the hybrid genetic algorithm,by developing elitist strategy,in order to overcome simple genetic algorithm detects of worse local searching ability and premature convergence.The simulation and experiment results show that the novel algorithm is superior to simple particle swarm optimization,simple genetic algorithm and its improved algorithm it can overcome premature phenomena and improve the convergence precision and speed,has advantages such as excellent optimization ability and good stability.