提出一种融入分布评估算法的GEP算法——LPGEP.该算法不仅通过建立概率模型指导个体演化的方向,而且在演化过程中对最优的几个个体实施参数优化.实验表明该算法不仅增强了基因表达式程序设计的学习能力,而且提高了演化模型的精度.
A gene expression programming algorithm embedded with estimation of distribution algorithms,LPGEP,is proposed here.The algorithm can not only build probabilistic model to guide the individuals to evolve,but also carry out parameter optimization,aiming at the best individuals.The experiments show that the algorithm enhances the learning ability of gene expression programming and improves the precision of the model.