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《Journal of Chongqing Institute of Technology(Natural Science)》 2009-03
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An Improved GEP Algorithm and Its Application in Evolutionary Modeling

FU Hong-wei1,LIU Yuan-yuan2,CHEN Jing-xin1(1.Military Economy Academy,Wuhan 430035,China;2.China University of Geosciences,Wuhan 430074,China)  
This paper firstly introduces the basic principles of GEP,and then discusses a new computation way of individual's fitness,which can get the fitness of individual without constructing the expression tree.The chromosome's fitness can be computed directly while computing the valid length of gene.The experiment shows that this algorithm not only is simple and effective,but also can improve computing speed.
【Fund】: 湖北省自然科学基金资助项目(2003ABA043)
【CateGory Index】: TP311.11
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