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نمایش تعداد 1-10 از 27

Multi-stage genetic programming: A new strategy to nonlinear system modeling

نوع: Journal Paper

نویسنده : Amir Hossein Gandomi; Amir Hossein Alavi

سال: 2011

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Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing

نوع: Journal Paper

نویسنده : Amir Hossein Alavi; Amir Hossein Gandomi

ناشر: Elsevier Science

سال: 2011

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Numerical modeling of stress–strain behavior of sand under cyclic loading

نوع: Journal Paper

نویسنده : Habib Shahnazari; Yasser Dehnavi; Amir Hossein Alavi

ناشر: Elsevier Science

سال: 2010

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Krill herd: A new bio-inspired optimization algorithm

نوع: Journal Paper

نویسنده : Amir Hossein Gandomi; Amir Hossein Alavi

سال: 2012

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A new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problems

نوع: Journal Paper

نویسنده : Amir Hossein Gandomi; Amir Hossein Alavi

ناشر: Springer

سال: 2012

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Energy-based numerical models for assessment of soil liquefaction

نوع: Journal Paper

نویسنده : Amir Hossein Alavi; Amir Hossein Gandomi

سال: 2012

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Applications of Computational Intelligence in Behavior Simulation of Concrete Materials

نوع: Journal Paper

نویسنده : Amir Hossein Gandomi; Amir Hossein Alavi

سال: 2011

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Design equations for prediction of pressuremeter soil deformation moduli utilizing expression programming systems

نوع: Journal Paper

نویسنده : Amir Hossein Alavi, Amir Hossein Gandomi…

سال: Year

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Formulation of uplift capacity of suction caissons using multi expression programming

نوع: Journal Paper

نویسنده : Amir Hossein Gandomi; Amir Hossein Alavi; Gun Jin Yun

سال: 2011

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New formulation for compressive strength of CFRP confined concrete cylinders using linear genetic programming

نوع: Journal Paper

نویسنده : Amir Hossein Gandomi; Amir Hossein Alavi; Mohammad Ghasem Sahab

سال: 2010

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Multi-stage genetic programming: A new strategy to nonlinear system modeling

Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing

Numerical modeling of stress–strain behavior of sand under cyclic loading

Krill herd: A new bio-inspired optimization algorithm

A new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problems

Energy-based numerical models for assessment of soil liquefaction

Applications of Computational Intelligence in Behavior Simulation of Concrete Materials

Design equations for prediction of pressuremeter soil deformation moduli utilizing expression programming systems

Formulation of uplift capacity of suction caissons using multi expression programming

New formulation for compressive strength of CFRP confined concrete cylinders using linear genetic programming

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Multi-stage genetic programming: A new strategy to nonlinear system modeling

Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing

Numerical modeling of stress–strain behavior of sand under cyclic loading

Krill herd: A new bio-inspired optimization algorithm

A new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problems

Energy-based numerical models for assessment of soil liquefaction

Applications of Computational Intelligence in Behavior Simulation of Concrete Materials

Design equations for prediction of pressuremeter soil deformation moduli utilizing expression programming systems

Formulation of uplift capacity of suction caissons using multi expression programming

New formulation for compressive strength of CFRP confined concrete cylinders using linear genetic programming