Genetic Programming Bibliography entries for Abdolhossein Hemmati-Sarapardeh

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GP coauthors/coeditors: Mohammad Fathinasab, Shahab Ayatollahi, Fahimeh Hadavimoghaddam, Mohammad-Reza Mohammadi, Saeid Atashrouz, Dragutin Nedeljkovic, Ahmad Mohaddespour, Ali Bostani, Sajjad Ansari, Ali Abedi, Aboozar Garavand, Alexei Rozhenko, Masoud Mostajeran Gortani, Sassan Hajirezaie, Amin Pajouhandeh, Maysam Pournik, Bahram Dabir, Aydin Larestani, Menad Nait Amar, Qichao Lv, Tongke Zhou, Haimin Zheng, Behnam Amiri-Ramsheh, Xiaochen Li, Longxuan Li, Arefeh Naghizadeh, Ali Reza Rezghi Rostami, Alireza Baghban, Amir H Mohammadi, Sajjad Habibzadeh,

Genetic Programming Articles by Abdolhossein Hemmati-Sarapardeh

  1. Qichao Lv and Tongke Zhou and Haimin Zheng and Behnam Amiri-Ramsheh and Fahimeh Hadavimoghaddam and Abdolhossein Hemmati-Sarapardeh and Xiaochen Li and Longxuan Li. Modeling hydrogen solubility in water: Comparison of adaptive boosting support vector regression, gene expression programming, and cubic equations of state. International Journal of Hydrogen Energy, 57:637-650, 2024. details

  2. Fahimeh Hadavimoghaddam and Sajjad Ansari and Saeid Atashrouz and Ali Abedi and Abdolhossein Hemmati-Sarapardeh and Ahmad Mohaddespour. Application of advanced correlative approaches to modeling hydrogen solubility in hydrocarbon fuels. International Journal of Hydrogen Energy, 48(51):19564-19579, 2023. details

  3. Fahimeh Hadavimoghaddam and Mohammad-Reza Mohammadi and Saeid Atashrouz and Ali Bostani and Abdolhossein Hemmati-Sarapardeh and Ahmad Mohaddespour. Modeling hydrogen solubility in alcohols using group method of data handling and genetic programming. International Journal of Hydrogen Energy, 48(7):2689-2704, 2023. details

  4. Fahimeh Hadavimoghaddam and Aboozar Garavand and Alexei Rozhenko and Masoud Mostajeran Gortani and Abdolhossein Hemmati-Sarapardeh. Toward smart correlations for predicting in-situ stress: Application to evaluating subsurface energy structures. Geoenergy Science and Engineering, 231:212292, 2023. details

  5. Arefeh Naghizadeh and Aydin Larestani and Menad Nait Amar and Abdolhossein Hemmati-Sarapardeh. Predicting viscosity of CO2-N2 gaseous mixtures using advanced intelligent schemes. Journal of Petroleum Science and Engineering, 208:109359, 2022. details

  6. Mohammad-Reza Mohammadi and Fahimeh Hadavimoghaddam and Saeid Atashrouz and Ali Abedi and Abdolhossein Hemmati-Sarapardeh and Ahmad Mohaddespour. Toward predicting SO2 solubility in ionic liquids utilizing soft computing approaches and equations of state. Journal of the Taiwan Institute of Chemical Engineers, 133:104220, 2022. details

  7. Fahimeh Hadavimoghaddam and Mohammad-Reza Mohammadi and Saeid Atashrouz and Dragutin Nedeljkovic and Abdolhossein Hemmati-Sarapardeh and Ahmad Mohaddespour. Data-driven modeling of H2 solubility in hydrocarbons using white-box approaches. International Journal of Hydrogen Energy, 47(78):33224-33238, 2022. details

  8. Alireza Rostami and Alireza Baghban and Amir H Mohammadi and Abdolhossein Hemmati-Sarapardeh and Sajjad Habibzadeh. Rigorous prognostication of permeability of heterogeneous carbonate oil reservoirs: Smart modeling and correlation development. Fuel, 236:110-123, 2019. details

  9. Sassan Hajirezaie and Amin Pajouhandeh and Abdolhossein Hemmati-Sarapardeh and Maysam Pournik and Bahram Dabir. Development of a robust model for prediction of under-saturated reservoir oil viscosity. Journal of Molecular Liquids, 229:89-97, 2017. details

  10. Mohammad Fathinasab and Shahab Ayatollahi and Abdolhossein Hemmati-Sarapardeh. A rigorous approach to predict nitrogen-crude oil minimum miscibility pressure of pure and nitrogen mixtures. Fluid Phase Equilibria, 399:30-39, 2015. details

Genetic Programming book chapters by Abdolhossein Hemmati-Sarapardeh