Multi-Expression Based Gene Expression Programming

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原文链接

NETL
Springer Nature

外文摘要：Among the variants of GP， GEP stands out for its simplicity of encoding method and MEP catches our attention for its multi-expression capability。 In this paper， a novel GP variant-MGEP (Multi-expression based Gene Expression Programming) is proposed to combine these two approaches。 The new method preserves the GEP structure， however unlike the traditional GEP， its genes， like those of MEP， can be disassembled into many expressions。 Therefore in MGEP， the traditional GEP gene can contain multiple solutions for a problem。 The experimental result shows the MGEP is more effective than the traditional GEP and MEP in solving problems。

外文关键词：

Genetic programmingGene expression programmingMulti expression programming

作者：

Wei Deng、Pei He、Zhi Huang

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作者单位：

School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, China

School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, China ,Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin 541004, China

会议名称：

Chinese intelligent automation conference

会议地点：

Yangzhou(CN)

会议母体文献：

Proceedings of 2013 Chinese intelligent automation conference : Intelligent information processing

页码：

439-448

出版时间：

2013

DOI：

10.1007/978-3-642-38466-0_49