Comparative study of different metaheuristics on CEC 2020 benchmarks
Metaheuristic algorithms have increased in usage in all the scientific fields during the last
decades. Since no optimisation algorithm is valid for all optimisation problems, many …
decades. Since no optimisation algorithm is valid for all optimisation problems, many …
Random forest regression on pullout resistance of a pile
This research aims to study the pullout resistance of a helical pile using three methods of
machine learning techniques, which are: random forest regression, support vector …
machine learning techniques, which are: random forest regression, support vector …
Multi-objective optimization and simulation for multiple models of walls to estimate heat gain using Artificial Neural Network model
In homes all around the world and other hot climates, different types of walls are frequently
used to provide small heat gains from the outside. Climate-related factors have been the …
used to provide small heat gains from the outside. Climate-related factors have been the …
Multi objective optimization for house roof using artificial neural network model
Roof models with low heat loss and low heating costs for buildings are crucial for reducing
energy consumption and greenhouse gas emissions in cold regions. This study aimed to …
energy consumption and greenhouse gas emissions in cold regions. This study aimed to …
[引用][C] World Journal of Engineering Research and Technology
BONAH PILE - World Journal of Engineering, 2023