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    Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrup 

    Type: Journal Paper
    Author : Amir H. Gandomi; دانیال محمدزاده شادمهری; Juan Luis Perez - Ordonez; Amir H. Alavi; danial mohammadzadeh shadmehri
    Year: 2014
    Abstract:

    tA new design equation is proposed for the prediction of shear strength of reinforced concrete (RC) beamswithout stirrups using an innovative linear genetic programming methodology. The shear strength wasformulated in terms of several effective...

    A New Prediction Model for Soil Deformation Modulus Based on PLT Results 

    Type: Conference Paper
    Author : علی ملاحسنی; امیر حسین علوی; امیر حسین گندمی; جعفر بلوری بزاز; Ali Mollahasani; Jafar Bolouri Bazaz
    Year: 2011
    Abstract:

    In this study, a new empirical model was developed to predict the secant soil deformation modulus (Es) using linear genetic programming (LGP). The best LGP model was selected after developing and controlling several models with different...

    Nonlinear modeling of soil deformation modulus through LGP-based interpretation of pressuremeter test results 

    Type: Journal Paper
    Author : آزاده راشد; جعفر بلوری بزاز; Amir Hossein Alavi; Azadeh Rashed; Jafar Bolouri Bazaz
    Year: 2012
    Abstract:

    the field tests. To cope with this issue, this paper presents the

    development of a new prediction model for the pressuremeter soil deformation modulus utilizing a

    linear genetic programming (LGP) methodology. The LGP model relates the soil...

    New Insights Into Diversification of Hyper-Heuristics 

    Type: Journal Paper
    Author : Zhilei Ren; He Jiang; Jifeng Xuan; Yan Hu; Zhongxuan Luo
    Publisher: IEEE
    Year: 2014

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