摘要
目的探讨遗传算法作为正交试验设计优化分析方法的效果。方法利用木豆叶总黄酮提取的正交试验结果,比较直接法、最速上升法、遗传算法进行最优条件选择的优化分析效果。结果遗传算法确定的最优试验条件下,预计总黄酮的提取量达到1.0713mg/g,比最速上升法增加了0.1753mg/g,提高了20%;直接法只能在试验设计的各因素水平上确定最优试验条件,不能预测总黄酮的提取量。结论遗传算法是一种精度更高的优化方法,是正交试验设计优化分析的必要补充。
Objective Exploring the effect of genetic algorithm for a method to determine the best experimental condition of orthogonal experimental design. Methods For the data of orthogonal experiment about withdrawing total flavone from wood bean leaves, analysis the optimal effect of the direct method, the steepest ascending method and genetic algorithm （GA） on the best experimental condition. Results According to the best experimental condition of GA, the withdrawing measure of total flavone reached 1.0713mg/g. The result showed GA was more excellent than the steepest ascending method. The total flavone was increased 0. 1753mg/g,that was it was increased 20 %. The direct method only can determine the best experimental condition on the level of design and the withdrawing measure of total flavone can＇t be predicted. Conclusion The best experimental condition by GA was more accuracy than the traditional method. GA provided a new method for determining the best experimental condition for orthogonal experimental design.
出处
《中国卫生统计》
CSCD
北大核心
2008年第2期154-157,共4页
Chinese Journal of Health Statistics
基金
山西省高校科技研究开发项目(项目编号:20041239)
山西医科大学创新基金(项目编号:012000715)
关键词
正交试验设计
直接法
最速上升法
遗传算法
最优试验条件
Orthogonal experimental design
Directmethod
Steepest ascending method
Genetic algorithm （GA）
Bestexperimental condition
