基于遗传算法岗位能力考核智能组卷模型设计  

Design of intelligent test paper constructing model for station capacity examination based on genetic algorithm

作　　者：沈迪[1] 张凤琴[1] 朱瑞[1] 王磊[1] 

机构地区：[1]空军工程大学电讯工程学院,陕西西安710077

出　　处：《计算机工程与设计》2011年第9期3153-3157,共5页Computer Engineering and Design

基　　金：陕西省自然科学基金项目(2007F43)

摘　　要：针对目前组织对具体岗位的专业能力考核时,不能根据其专业特性组题出卷,考核试题过于笼统宽泛,组卷出题效率不高,缺乏模型化管理等问题,设计了一种新的考核组卷模型。该模型通过提出以三级知识点为结构的知识领域,并设计知识领域的管理模型,精细化岗位能力考核的组题范围;通过设计基于遗传算法理论的智能组卷算法,提高了出题组卷效率以及出题的科学性、合理性。最后给出了模型性能验证数据,并加以分析。Aimed at the problems of low efficiency of test paper construction,lack of instructing model,and the examination questions always be too general to match station identities,when happened in organizing of capacity examination of a detailed station,a new test paper constructing model is designed.A structure named knowledge field with three level knowledge point is proposed,and the managing model of it is designed,range of examination knowledge is refined.An intelligent algorithm of test paper constructing based on genetic algorithm is designed,and efficiency and rationality of test paper constructing is boosted.At last,testing data of the model and the analysis is given.

关 键 词：遗传算法 能力考核 知识领域 知识点模型 智能组卷 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]