基于人工鱼群模型的自动组卷抽题算法研究

Research on an Algorithm of Automatic Test-question Extraction in Test Paper Generation System base on Artificial Fish-swarm Model

结合人工鱼群模型的基本思想,针对组卷问题这一具体应用,在人工鱼群算法中采用保留最优个体的策略对个体鱼的觅食行为进行改进,以防止鱼群中最优个体的退化.并且,为使全局最优个体能更快求出,对鱼群的聚群、追尾行为也进行了改进.

According to the same content and requirement of a test,the test system could generate many different test papers, which depends on an effective algorithm of automatic test-question extraction. To attain this purpose, it designs such an algorithm in this paper. The artificial fish-swarm model improves the preying behavior of artificial fish by the strategy of keeping the best individual and preventing the degenerating of the best individual in colony. It also improves the swarming behavior and following behivior of artificial fish for making the global optimal value to be shown faster.