NDLI: Reduced-GEP: Improving Gene Expression Programming by Gene Reduction

Content Provider	IEEE Xplore Digital Library
Author	Yu Chen Chang Jie Tang Rui Li Ming Fang Zhu Chuan Li Jie Zuo
Copyright Year	2010
Abstract	In traditional Gene Expression Programming (GEP), each chromosome is expressed and evaluated on the Expression Tree (ET). The ET-based expression and evaluation are computationally expensive and the intelligibility of the chromosome is low. In this paper, a highly efficient algorithm, Reduced-GEP, is proposed to solve these problems. First, the chromosome is reduced by Reduced-GEP. Second, chromosomes are evaluated directly on the reduced gene without being expressed them into ETs. In this way, the efficiency of the fitness evaluation is greatly improved. Moreover, the result of the evolution by Reduced-GEP is simplified and easier to be understood and explained. Extensive experiments demonstrate that Reduced-GEP algorithm is effective to calculate the fitness and reduce the chromosome.
Starting Page	176
Ending Page	179
File Size	450701
Page Count	4
File Format	PDF
ISBN	9781424478699
DOI	10.1109/IHMSC.2010.144
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Redundancy Programming Gene Expression Programming Evolutionary Computation Fitness Evaluate Reduced-GEP Indexes Gene expression Biological cells
Content Type	Text
Resource Type	Article

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