Genetic Programming Bibliography entries for Alireza Fallahpour
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Created by W.Langdon from
Ezutah Udoncy Olugu,
Siti Nurmaya Musa,
Kuan Yew Wong,
Muhammad Saiful Islam,
Saeed Reza Mohandes,
Ayokunle Olubunmi Olanipekun,
Genetic Programming Articles by Alireza Fallahpour
Muhammad Saiful Islam and Saeed Reza Mohandes and Amir Mahdiyar and Alireza Fallahpour and Ayokunle Olubunmi Olanipekun.
A Coupled Genetic Programming Monte Carlo Simulation-Based Model for Cost Overrun Prediction of Thermal Power Plant Projects.
Journal of Construction Engineering and Management, 148(8):04022073, 2022.
Junwu Yu and Yan Wang2 and Zhaoqin Dai and Faming Yang and Alireza Fallahpour and Bahman Nasiri-Tabrizi.
Structural features modeling of substituted hydroxyapatite nanopowders as bone fillers via machine learning.
Ceramics International, 47(7, Part A):9034-9047, 2021.
Maohua Li and Mohsen Mesbah and Alireza Fallahpour and Bahman Nasiri-Tabrizi and Baoyu Liu.
Mechanical strength estimation of ultrafine-grained magnesium implant by neural-based predictive machine learning.
Materials Letters, 305:130627, 2021.
Alireza Fallahpour and Kuan Yew Wong and Srithar Rajoo and Guangdong Tian.
An evolutionary-based predictive soft computing model for the prediction of electricity consumption using multi expression programming.
Journal of Cleaner Production, 283:125287, 2021.
Bin Jia and Dingjun Hao and Feng Qiao and Xiaoqing Zhou and Yuming Zhang and Mohsen Mesbah and Alireza Fallahpour and Bahman Nasiri-Tabrizi and Tao Wang.
Metal-doped bioceramic nanopowders with tunable structural properties aimed at enhancing bone density: Rapid synthesis and modeling.
Ceramics International, 2020.
Alireza Fallahpour and Ezutah Udoncy Olugu and Siti Nurmaya Musa.
A hybrid model for supplier selection: integration of AHP and multi expression programming (MEP).
Neural Computing and Applications, 28(3):499-504, 2017.
Alireza Fallahpour and Ezutah Udoncy Olugu and Siti Nurmaya Musa and Dariush Khezrimotlagh and Kuan Yew Wong.
An integrated model for green supplier selection under fuzzy environment: application of data envelopment analysis and genetic programming approach.
Neural Computing and Applications, 27(3):707-725, 2016.