CAJ | 학술논문

　　本文采用遗传算法（G enetic A lgorithm ，G A）实现自动组卷的系统中，并没有充分考虑试卷中知识点（测试维度）的分值分布，提出一种新的遗传算法（N ew G enetic A lgorithm ，N G A）来实现自动组卷功能，并重新定义了适应度函数，加快收敛速度。仿真实验表明，N G A 算法不仅高效，且能生成一份有效试卷，使得试卷分值能在测试的维度上尽量实现均匀分布。
　　본문채용유전산법（G enetic A lgorithm ，G A）실현자동조권적계통중，병몰유충분고필시권중지식점（측시유도）적분치분포，제출일충신적유전산법（N ew G enetic A lgorithm ，N G A）래실현자동조권공능，병중신정의료괄응도함수，가쾌수렴속도。방진실험표명，N G A 산법불부고효，차능생성일빈유효시권，사득시권분치능재측시적유도상진량실현균균분포。
Thispaperusesthe SSH fram ew ork asthe system developm entfram ew ork to im plem enta m ulti-di-m ensionalevaluation system .In order to achieve autogeneration of the testpaper and letthe score uniform dis-tribute in every dim ension,a new genetic algorithm w as proposed.In the new algorithm ,itredefine the fitness func-tion to accelerate the speed ofconvergence.The sim ulation testindicates thatthe N G A algorithm satisfy the needs form ulti-dim ensionalevaluation system ,the speed isfaster,and the quality oftestpaperisbetter.