| 一种新型的GEP算法及应用研究 |
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| 引用本文： | 陈安升,蔡之华,谷琼,张烈超. 一种新型的GEP算法及应用研究[J]. 计算机应用研究, 2007, 24(6): 98-100 |
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| 作者姓名： | 陈安升 蔡之华 谷琼 张烈超 |
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| 作者单位： | 中国地质大学(武汉)计算机学院,湖北,武汉,430074;中国地质大学(武汉)计算机学院,湖北,武汉,430074;中国地质大学(武汉)计算机学院,湖北,武汉,430074;中国地质大学(武汉)计算机学院,湖北,武汉,430074 |
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| 摘 要： | 提出一种适合于GEP表达式树构造的新方法,以及相应的新解码方法(GPED).通过实验对比,GPED可大大缩短演化时间.提出一种新的算法GPEP,将GPEP应用于碎石桩复合地基承载力预测,结果表明GPEP算法在预测精度和演化效率上均超过遗传神经网络、GP等算法.
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| 关 键 词： | 基因表达式编程 遗传程序设计 解码 预测 |
| 文章编号： | 1001-3695（2007）06-0098-03 |
| 修稿时间： | 2006-03-21 |
Novel GEP Algorithm and Its Application |
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| CHEN An sheng,CAI Zhi hu,GU Qiong,ZHANG Lie chao. Novel GEP Algorithm and Its Application[J]. Application Research of Computers, 2007, 24(6): 98-100 |
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| Authors: | CHEN An sheng CAI Zhi hu GU Qiong ZHANG Lie chao |
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| Affiliation: | (School of Computer, China University of Geosciences, Wuhan Hubei 430074, China) |
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| Abstract: | A new way of construction of expression tree for GEP and a corresponding new decoding method called GPED were presented.Through experimental comparison,GPED can enormously reduce the evolutionary time.And a new algorithm GPEP was further proposed and applied to the problem of predicting load-bearing capacity of composite foundation.The result showes that GPEP outperforms the GA_ANN and GP both in prediction accuracy and evolutionary efficiency. |
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| Keywords: | gene expression programming(GEP) genetic programming design decoding prediction |
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