猎潜算法及其在智能组卷中的应用

Hunting algorithm and its application in the intelligent test-paper

借鉴军事上的声纳猎潜原理,将智能组卷转化为多维空间搜索问题,采用定向搜索思想,逐步缩小搜索范围,算法的运行效率也因此提高.经实验证明,采用猎潜算法解决智能组卷问题,达到了实时在线使用的质量和速度要求.这一方法有望为解决其它复杂的多条件约束问题提供帮助.

Learned from the hunting submarine principle of military,the intelligent test-paper composition was transformed into the multidimensional space searching issue.Then by using directed search ideas,was gradually narrowed the search scope,therefore the efficiency of the algorithm was improved.The experiments show that using the hunting algorithm solve the problem of intelligent test-paper composition and reach the quality and speed requirements of real-time online use.This method is expected to solve other complex problems with multiple constraints.