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投稿时间：2006-05-09
投稿时间：2006-05-09
中文摘要: 传统基因表达式编程采用静态适应度函数，影响了后期进化速度和整体质量。提出了远缘繁殖策略和动态适应度函数策略，远亲繁殖并及时变换评估个体的标准，增加多样性并有利于选择优质个体；实验表明，将远缘繁殖和动态适应度函数策略结合，有效地改善了传统GEP的性能，进化代数平均下降达10%，平均最高适应度值提高7%～14%，最高适应度提高达7%以上，进化的成功率提高达30%以上。
Abstract:Traditional Gene Expression Programming(GEP) uses static fitness function. It decreases evolution speed and quality. To solve the problem, outbreeding strategy and dynamic fitness function strategy: outbreed and timely change standard of evaluating individuals were proposed to increase diversity and select excellent individuals; The experiments showed that the performance of traditional GEP is effectively improved by the combination of OBS and DFFS. The average fitness for the best individual is increased by 7%～14%, the maximal fitness is increased by over 7%, and the success rate is increased by over 30%.
文章编号：20070223 中图分类号： 文献标志码：
基金项目:国家自然科学基金资助项目(60473071);高等学校博士学科点专项科研基金SRFDP资助项目(2002061007)
作者简介:
引用文本：
姜玥,唐常杰,郑明秀.基因表达式编程中动态适应的远缘繁殖策略[J].工程科学与技术,2007,39(2):121-126.
.Outbreeding Strategy with Dynamic Fitness in Gene Expression Programming[J].Advanced Engineering Sciences,2007,39(2):121-126.
引用文本：
姜玥,唐常杰,郑明秀.基因表达式编程中动态适应的远缘繁殖策略[J].工程科学与技术,2007,39(2):121-126.
.Outbreeding Strategy with Dynamic Fitness in Gene Expression Programming[J].Advanced Engineering Sciences,2007,39(2):121-126.