进化计算中的精英个体产生策略

初始种群是影响基因表达式编程算法（GEP）的重要因素之一。提出了精英个体产生策略，产生具有较高的适应度的精英个体，使种群从一个较高的基础上开始进化，从而提高种群的进化效率。在此基础上，提出了综合精英个体产生策略和基因空间均匀分布策略优点的综合种群产生算法。实验表明，精英个体产生策略可以提高进化效率17%，综合算法可以更加有效地提高系统的进化效率。以上算法的思想还可以应用于其它进化计算中。

Elitism Producing Strategy in Genetic Computing

Initial population is one of the factors that influence the evolution of gene expression programming. Elitism producing strategy (EPS) is introduced, which can produce the chromosomes with higher fitness. So the evolution can be started from a higher level. A combination algorithm fusing the positives of elitism producing strategy and gene space balance strategy is presented. The simulation experiments show that EPS can increase the evolutionary efficiency by 17%. The combination algorithm can increase the evolutionary efficiency more markedly. The ideas presented here can be used in other evolutionary computation else.