| 改进的基因表达式程序设计及其在函数建模中的应用 |
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| 引用本文： | 贾丽媛.改进的基因表达式程序设计及其在函数建模中的应用[J].计算机应用,2007,27(7):1760-1762. |
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| 作者姓名： | 贾丽媛 |
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| 作者单位： | 湖南城市学院计算机科学系，中国地质大学计算机学院，湖南城市学院计算机科学系 湖南益阳413000 中国地质大学计算机学院，武汉430074，武汉430074 石家庄经济学院信息工程系，石家庄050031，湖南益阳413000 |
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| 摘 要： | 该文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：（1）基于精英保存策略的精英子空间算子；（2）基于全局收敛策略的变重组、变换概率Pc和变变异概率Pm算子；（3）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。
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| 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 |
| 文章编号： | 1001-9081（2007）07-1760-03 |
| 收稿时间： | 2007-01-09 |
| 修稿时间： | 2007-01-082007-03-27 |
Application of an improved gene expression programming in functions modeling |
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| JIA Li-yuan,DU Xin,XI Sheng-feng.Application of an improved gene expression programming in functions modeling[J].journal of Computer Applications,2007,27(7):1760-1762. |
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| Authors: | JIA Li-yuan DU Xin XI Sheng-feng |
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| Affiliation: | 1. Department of Computer Science, Hunan City University, Yiyang Hunan 413000, China; 2. School of Computer, China University of Geosciences, Wuhan Hubei 430074, China; 3. Department of Information Engineering, College of Shijiazhuang Economy, Shijiazhuang Hebei 050031, China |
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| Abstract: | 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. |
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| Keywords: | gene expression programming good subspace operator variable dimension subspace operator |
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