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Rahimeh Maghsoudi, Saman Javadi, Mojtaba Shourian and Golmar Golmohammadi
Determining optimal exploitation from aquifers is always a major challenge, especially for aquifers facing a drop in their groundwater level. In aquifers with artificial recharge, more complex algorithms are required to determine the optimal exploitation...
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Sevda Mozaffari, Erfan Amini, Hossein Mehdipour and Mehdi Neshat
The significance of spillways is to allow the flood to be safely discharged from downstream. There is a strong correlation between the poor design of spillways and the failures of dams. In order to address this concern, the present study investigates the...
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Abbas Abbaszadeh Shahri, Ali Kheiri and Aliakbar Hamzeh
Infrastructures play an important role in urbanization and economic activities but are vulnerable. Due to unavailability of accurate subsurface infrastructure maps, ensuring the sustainability and resilience often are poorly recognized. In the current pa...
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Ali Rashid Niaghi, Oveis Hassanijalilian and Jalal Shiri
Evapotranspiration (ET) is widely employed to measure amounts of total water loss between land and atmosphere due to its major contribution to water balance on both regional and global scales. Considering challenges to quantifying nonlinear ET processes,...
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Van-Ngoc Pham, Erwin Oh and Dominic E. L. Ong
The study aims to develop a reliable model using gene-expression programming (GEP) technique for estimating the unconfined compressive strength (UCS) of soil stabilization by cement and fly ash. The model considered the effects of several parameters, inc...
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Furqan Farooq, Muhammad Nasir Amin, Kaffayatullah Khan, Muhammad Rehan Sadiq, Muhammad Faisal Javed, Fahid Aslam and Rayed Alyousef
Supervised machine learning and its algorithm is an emerging trend for the prediction of mechanical properties of concrete. This study uses an ensemble random forest (RF) and gene expression programming (GEP) algorithm for the compressive strength predic...
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Danial Mohammadzadeh S., Seyed-Farzan Kazemi, Amir Mosavi, Ehsan Nasseralshariati and Joseph H. M. Tah
In construction projects, estimation of the settlement of fine-grained soils is of critical importance, and yet is a challenging task. The coefficient of consolidation for the compression index (Cc) is a key parameter in modeling the settlement of fine-g...
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Sultan Noman Qasem, Saeed Samadianfard, Hamed Sadri Nahand, Amir Mosavi, Shahaboddin Shamshirband and Kwok-wing Chau
In the current study, the ability of three data-driven methods of Gene Expression Programming (GEP), M5 model tree (M5), and Support Vector Regression (SVR) were investigated in order to model and estimate the dew point temperature (DPT) at Tabriz statio...
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Ai-Hua Zhou, Li-Peng Zhu, Bin Hu, Song Deng, Yan Song, Hongbin Qiu and Sen Pan
The traveling-salesman problem can be regarded as an NP-hard problem. To better solve the best solution, many heuristic algorithms, such as simulated annealing, ant-colony optimization, tabu search, and genetic algorithm, were used. However, these algori...
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Mohsen Hajihassani, Shahrum Shah Abdullah, Panagiotis G. Asteris and Danial Jahed Armaghani
Underground spaces have become increasingly important in recent decades in metropolises. In this regard, the demand for the use of underground spaces and, consequently, the excavation of these spaces has increased significantly. Excavation of an undergro...
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