Application of adaptive genetic algorithm in engineering training on-line exam system

On the basis of realizing the information technology in the engineering training center workshop, the management system of examination module has a lot of problems, such as forming repeated questions and the low efficiency of paper constructing, in order to solve those problems to meet the real-time requirements of the on-line exam, this paper presents an improved genetic algorithm. In this algorithm, it adopts the subsection integer coding, improves the generation methods of the initial population, which can effectively improve the convergence speed. It also uses the adjustment method of adaptive genetic operator,then removes the repeated questions and adds best individual save mechanism in the evolutionary process, which can both ensure the diversity of population and acquire high quality. The experimental results show that the algorithm can not only solve the problem of the examination module, but also show the advantages over randomized algorithms and simple genetic algorithm in iterative times, running times and accuracy of composition test paper.