摘要
提出了一种改进的基因表达式程序设计的遗传进化算法(PGEP),新的算法引入三个算子:基于精英保存策略的精英子空间算子;基于全局收敛策略的变重组、变换概率和变变异概率算子及基于群体搜索技术的变维子空间算子。将改进的基因表达式程序设计应用于函数建模,获得满意的结果。
A new gene expression programming （GEP）, PGEP, was proposed. It was based on three new operators： good subspace operator based on the best ones stored strategy; variable reorganization, conversion probability and variable mutation probability operator based on global convergence strategy; variable dimension subspace operator based on population search strategy. The result shows that PGEP behaves better than GEP in functions modeling.
出处
《计算机应用》
CSCD
北大核心
2007年第7期1760-1762,1766,共4页
journal of Computer Applications
关键词
基因表达式程序设计
精英子空间算子
变维子空间算子
gene expression programming
good subspace operator
variable dimension subspace operator
