【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。更多还原

【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%.更多还原