Creep modeling of composite materials based on improved gene expression programming. [PDF]
Tan H, Yan S, Zhu S, Wen P.
europepmc +1 more source
An improved gene expression programming algorithm for function mining of map-reduce job execution in catenary monitoring systems. [PDF]
Ding J +7 more
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Gene Expression Programming Based on Diversity-Guided Grading Evolution
:Function mining algorithm based on traditional Gene Expression Programming (GEP) and other improved algorithm may still lead to local optimum trap. To solve this problem, a new algorithm based on Genome Diversity Guided (DG GEP) in grading evolution was
doaj
Automatic Complex Function Discovery based on Multi Expression Gene Programming
:For complex function mining, traditional gene expression programming (GEP) needs large number of evolutionary generations and may plunge into local optimum.
Dai Shu-cheng, TANG Chang-jie, 朱明放
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Gene Expression Programming Model for Tribological Behavior of Novel SiC-ZrO2-Al Hybrid Composites. [PDF]
Abbasi H +5 more
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Shear Strength Prediction Model for RC Exterior Joints Using Gene Expression Programming. [PDF]
Tariq M, Khan A, Ullah A.
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Prediction of Axial Capacity of Concrete Filled Steel Tubes Using Gene Expression Programming. [PDF]
Khan K +6 more
europepmc +1 more source
Predicting the Response of RC Beam from a Drop-Weight Using Gene Expression Programming. [PDF]
Tariq M, Khan A, Ullah A.
europepmc +1 more source
Multi-label Classification with Gene Expression Programming
In this paper, we introduce a Gene Expression Programming algorithm for multi label classification. This algorithm encodes each individual into a discriminant function that shows whether a pattern belongs to a given class or not. The algorithm also applies a niching technique to guarantee that the population includes functions for each existing class ...
José Luis Ávila-Jiménez +2 more
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تحسین طریقة البرمجة باستخدام التعبیر الجینی الوراثی
Najla Akram Al-Saati, Nidhal Al-Assady
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