In this paper, we regard the significance of attributes defined from the approximation quality with respect to the partition and condition attributes set as heuristic information, and introduce the heuristic information into genetic algorithm based on optimizing initial population.
为了获得决策系统中属性的极小相对约简,本文将决策表中相对于每个条件属性的集合和划分的粗糙逼近精度作为衡量属性重要程度的准则,并以此作为启发式信息引入遗传算法,提出了一种在优化初始种群的基础上提高算法性能的启发式遗传算法。
参考来源 - 基于改进启发式遗传算法的属性约简方法·2,447,543篇论文数据，部分数据来源于NoteExpress
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