基于改进遗传算法的快速自动组卷算法研究.

In order to overcome the existing exam management system on the speed and quality of test paper generating links exist defects, the coarse-grained parallel genetic algorithm combined with the adaptive technology, this paper proposed a fast parallel genetic algorithm of adaptive adjustment of population migration. Respectively from the examination of coding scheme, the optimization of genetic strategy, fitness function, crossover mutation operator selection and the selection of fitness value function, etc to carry on the design, had obtained the very good fitness, adopted the tactics of parallel at the same time, improved the running speed of the algorithm. Simulation experiment results show that the algorithm is successfully applied to the automatic group volume, volume and group to improve the efficiency and success rate are obvious, has the very good generality. The algorithm used in the intelligent fast automatic group volume is feasible and effective. [ABSTRACT FROM AUTHOR]