مقالات:
Ahmadianfar, I., Farooque, A. A., Ali, M., Jamei, M., Jamei, M., & Yaseen, Z. M. (2025). A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting. Scientific Reports, 15(1), 7596.
Goliatt, L., Marhoon, H. A., Yaseen, Z. M., Heddam, S., Al Zand, A. W., Halder, B., ... & Elsayed, S. (2025). An evolutionary optimized automated machine learning approach to soil unconfined compressive strength prediction for sustainable transportation infrastructure. Transportation Geotechnics, 101550.
Tao, H., Aldlemy, M. S., Ahmadianfar, I., Goliatt, L., Marhoon, H. A., Homod, R. Z., ... & Yaseen, Z. M. (2025). Optimizing engineering design problems using adaptive differential learning teaching-learning-based optimization: Novel approach. Expert Systems with Applications, 270, 126425.
Zhou, X., Leng, Y., Salarijazi, M., Ahmadianfar, I., & Farooque, A. A. (2024). Development of forecasting of monthly SAR time series in river systems: A multivariate data decomposition-based hybrid approach. Process Safety and Environmental Protection, 188, 1355-1375.
Valikhan Anaraki, M., Farzin, S., Ahmadianfar, I., & Shams, A. (2024). Development of A Novel Discharge Routing Method Based On the Large Discharge Dataset, Muskingum Model, Optimization Methods, and Multi-Criteria Decision Making. Journal of Soft Computing in Civil Engineering, 8(4), 54-93.
Tao, H., Abba, S. I., Al-Areeq, A. M., Tangang, F., Samantaray, S., Sahoo, A., ... & Yaseen, Z. M. (2024). Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions. Engineering Applications of Artificial Intelligence, 129, 107559.
Heddam, S., Al-Areeq, A. M., Tan, M. L., Ahmadianfar, I., Halder, B., Demir, V., ... & Yaseen, Z. M. (2024). New formulation for predicting total dissolved gas supersaturation in dam reservoir: application of hybrid artificial intelligence models based on multiple signal decomposition. Artificial Intelligence Review, 57(4), 85.
Hai, T., Ahmadianfar, I., Halder, B., Heddam, S., Al-Areeq, A. M., Demir, V., ... & Yaseen, Z. M. (2024). Surface water quality index forecasting using multivariate complementing approach reinforced with locally weighted linear regression model. Environmental Science and Pollution Research, 1-25.
Salarijazi, M., Ahmadianfar, I., & Yaseen, Z. M. (2024). Prediction enhancement for surface water sodium adsorption ratio using limited inputs: Implementation of hybridized stacked ensemble model with feature selection algorithm. Physics and Chemistry of the Earth, Parts A/B/C, 134, 103561.
Tao, H., Ahmadianfar, I., Goliatt, L., Kazmi, S. S. U. H., Yassin, M. A., Oudah, A. Y., ... & Yaseen, Z. M. (2024). PM2. 5 concentration forecasting: Development of integrated multivariate variational mode decomposition with kernel Ridge regression and weighted mean of vectors optimization. Atmospheric Pollution Research, 15(6), 102125.
Sa’adi, Z., Al-Suwaiyan, M. S., Yaseen, Z. M., Tan, M. L., Goliatt, L., Heddam, S., ... & Shafik, S. S. (2024). Observed and future shifts in climate zone of Borneo based on CMIP6 models. Journal of Environmental Management, 360, 121087.
Moslemzadeh, M., Farzin, S., Karami, H., & Ahmadianfar, I. (2023). Introducing improved atom search optimization (IASO) algorithm: Application to optimal operation of multi-reservoir systems. Physics and Chemistry of the Earth, Parts A/B/C, 131, 103415.
Ahmadianfar, I., Samadi-Koucheksaraee, A., & Asadzadeh, M. (2022). Extract nonlinear operating rules of multi-reservoir systems using an efficient optimization method. Scientific Reports, 12(1), 18880.
Jamei, M., Ali, M., Karbasi, M., Xiang, Y., Ahmadianfar, I., & Yaseen, Z. M. (2022). Designing a multi-stage expert system for daily ocean wave energy forecasting: A multivariate data decomposition-based approach. Applied Energy, 326, 119925.
Chen, H., Ahmadianfar, I., Liang, G., Bakhsizadeh, H., Azad, B., & Chu, X. (2022). A successful candidate strategy with Runge-Kutta optimization for multi-hydropower reservoir optimization. Expert Systems with Applications, 209, 118383.
Jamei, M., Ahmadianfar, I., Karbasi, M., Malik, A., Kisi, O., & Yaseen, Z. M. (2023). Development of wavelet-based kalman online sequential extreme learning machine optimized with boruta-random forest for drought index forecasting. Engineering Applications of Artificial Intelligence, 117, 105545.
Ahmadianfar, I., Samadi-Koucheksaraee, A., & Razavi, S. (2023). Design of optimal operating rule curves for hydropower multi-reservoir systems by an influential optimization method. Renewable Energy, 211, 508-521.
Keramat, A., Ahmadianfar, I., Duan, H. F., & Hou, Q. (2023). Spectral transient-based multiple leakage identification in water pipelines: An efficient hybrid gradient-metaheuristic optimization. Expert Systems with Applications, 224, 120021.
Ahmadianfar, I., Heidari, A. A., Noshadian, S., Chen, H., & Gandomi, A. H. (2022). INFO: An efficient optimization algorithm based on weighted mean of vectors. Expert Systems with Applications, 195, 116516.
Pandey, M., Jamei, M., Ahmadianfar, I., Karbasi, M., Lodhi, A. S., & Chu, X. (2022). Assessment of scouring around spur dike in cohesive sediment mixtures: A comparative study on three rigorous machine learning models. Journal of Hydrology, 606, 127330.
Tao, H., Jamei, M., Ahmadianfar, I., Khedher, K. M., Farooque, A. A., & Yaseen, Z. M. (2022). Discharge coefficient prediction of canal radial gate using neurocomputing models: an investigation of free and submerged flow scenarios. Engineering Applications of Computational Fluid Mechanics 16(1), 1-19.
Jamei, M., Ahmadianfar, I., Karbasi, M., Jawad, A. H., Farooque, A. A., & Yaseen, Z. M. (2021). The assessment of emerging data-intelligence technologies for modeling Mg+ 2 and SO4− 2 surface water quality. Journal of Environmental Management 300, 113774.
Fang, Y., Ahmadianfar, I., Samadi-Koucheksaraee, A., Azarsa, R., Scholz, M., & Yaseen, Z. M. (2021). An accelerated gradient-based optimization development for multi-reservoir hydropower systems optimization. Energy Reports 7, 7854-7877.
Pandey, M., Jamei, M., Karbasi, M., Ahmadianfar, I., & Chu, X. (2021). Prediction of maximum scour depth near spur dikes in uniform bed sediment using stacked generalization ensemble tree-based frameworks. Journal of Irrigation and Drainage Engineering 147(11), 04021050.
Ahmadianfar, I., Gong, W., Heidari, A. A., Golilarz, N. A., Samadi-Koucheksaraee, A., & Chen, H. (2021). Gradient-based optimization with ranking mechanisms for parameter identification of photovoltaic systems. Energy Reports 7, 3979-3997.
Jamei, M., Ahmadianfar, I., Jamei, M., Karbasi, M., Heidari, A. A., & Chen, H. (2022). Estimating daily global solar radiation in hot semi-arid climate using an efficient hybrid intelligent system. The European Physical Journal Plus, 137(3), 1-25.
Abdollahi, A., & Ahmadianfar, I. (2021). Multi-mechanism ensemble interior search algorithm to derive optimal hedging rule curves in multi-reservoir systems. Journal of Hydrology, 598, 126211.
Ahmadianfar, I., Heidari, A. A., Gandomi, A. H., Chu, X., & Chen, H. (2021). RUN Beyond the Metaphor: An Efficient Optimization Algorithm Based on Runge Kutta Method. Expert Systems with Applications, 115079.
Ahmadianfar, I., Kheyrandish, A., Jamei, M., & Gharabaghi, B. (2021). Optimizing operating rules for multi-reservoir hydropower generation systems: An adaptive hybrid differential evolution algorithm. Renewable Energy, 167, 774-790.
Ahmadianfar, I., Jamei, M., Karbasi, M., Sharafati, A., & Gharabaghi, B. (2021). A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups. Engineering with Computers, 1-23.
Jamei, M., Ahmadianfar, I., Chu, X., & Yaseen, Z. M. (2021). Estimation of triangular side orifice discharge coefficient under a free flow condition using data-driven models. Flow Measurement and Instrumentation, 77, 101878.
Ahmadianfar, I., Bozorg-Haddad, O., & Chu, X. (2020). Gradient-based optimizer: A new Metaheuristic optimization algorithm. Information Sciences, 540, 131-159.
Jamei, M., Ahmadianfar, I., Olumegbon, I. A., Karbasi, M., & Asadi, A. (2021). On the assessment of specific heat capacity of nanofluids for solar energy applications: Application of Gaussian process regression (GPR) approach. Journal of Energy Storage, 33, 102067.
Ahmadianfar, I., & Zamani, R. (2020). Assessment of the hedging policy on reservoir operation for future drought conditions under climate change. Climatic Change, 159(2), 253-268.
Khordehbin, S., Hojati, S., Landi, A., & Ahmadianfar, I. (2020). Comparison of CO2 and CH4 emissions from selected land uses of Behbahan city. Journal of Natural Environment, 73(3), 457-470.
Jamei, M., Ahmadianfar, I., Olumegbon, I. A., Asadi, A., Karbasi, M., Said, Z., ... & Meyer, J. P. (2021). On the specific heat capacity estimation of metal oxide-based nanofluid for energy perspective–A comprehensive assessment of data analysis techniques. International Communications in Heat and Mass Transfer, 123, 105217.
Naseri, A., Jamei, M., Ahmadianfar, I., & Behbahani, M. (2020). Nanofluids thermal conductivity prediction applying a novel hybrid data-driven model validated using Monte Carlo-based sensitivity analysis. Engineering with Computers, 1-25.
Ahmadianfar, I., Khajeh, Z., Asghari-Pari, S. A., & Chu, X. (2019). Developing optimal policies for reservoir systems using a multi-strategy optimization algorithm. Applied Soft Computing, 80, 888-903.
Ahmadianfar, I., Adib, A., & Salarijazi, M. (2015). Optimizing multireservoir operation: Hybrid of bat algorithm and differential evolution. Journal of Water Resources Planning and Management, 142(2), 05015010.
Ahmadianfar, I., Adib, A., & Taghian, M. (2016). Optimization of fuzzified hedging rules for multipurpose and multireservoir systems. Journal of Hydrologic Engineering, 21(4), 05016003.
Ahmadianfar, I., Samadi-Koucheksaraee, A., & Bozorg-Haddad, O. (2017). Extracting Optimal Policies of Hydropower Multi-Reservoir Systems Utilizing Enhanced Differential Evolution Algorithm. Water Resources Management, 1-23.
Zamani, R., Akhond-Ali, A. M., Ahmadianfar, I., & Elagib, N. A. (2017). Optimal Reservoir Operation under Climate Change Based on a Probabilistic Approach. Journal of Hydrologic Engineering, 22(10), 05017019.
Taghian, M., & Ahmadianfar, I. (2017). Maximizing the Firm Energy Yield Preserving Total Energy Generation Via an Optimal Reservoir Operation. Water Resources Management, 1-14.
Samadi-koucheksaraee, A., Ahmadianfar, I., Bozorg-Haddad, O., & Asghari-pari, S. A. (2019). Gradient evolution optimization algorithm to optimize reservoir operation systems. Water resources management, 33(2), 603-625.
Jamei, M., & Ahmadianfar, I. (2019). Prediction of scour depth at piers with debris accumulation effects using linear genetic programming. Marine Georesources & Geotechnology, 1-12.
Ahmadianfar, I., Jamei, M., & Chu, X. (2019). Prediction of local scour around circular piles under waves using a novel artificial intelligence approach. Marine Georesources & Geotechnology, 1-12.
Ahmadianfar, I., Bozorg-Haddad, O., & Chu, X. (2019). Optimizing Multiple Linear Rules for Multi-Reservoir Hydropower Systems Using an Optimization Method with an Adaptation Strategy. Water Resources Management, 33(12), 4265-4286.
Gholizadeh, M., Jamei, M., Ahmadianfar, I., & Pourrajab, R. (2020). Prediction of nanofluids viscosity using random forest (RF) approach. Chemometrics and Intelligent Laboratory Systems, 104010.
Ahmadianfar, I., Jamei, M., & Chu, X. (2020). A novel hybrid wavelet-locally weighted linear regression (W-LWLR) model for electrical conductivity (EC) prediction in water surface. Journal of Contaminant Hydrology, 103641.
Ghadim, H. B., Salarijazi, M., Ahmadianfar, I., Heydari, M., & Zhang, T. (2020). Developing a Sediment Rating Curve Model Using the Curve Slope. Polish Journal of Environmental Studies, 29(2).
Sadeghian, M. S., Salarijazi, M., Ahmadianfar, I., & Heydari, M. (2016). Stage-Discharge relationship in tidal rivers for tidal flood condition. Fresenius Environmental Bulletin, 25(10), 4111-4117.
Jamei, M., Raeisi Isa Abadi, A., & Ahmadianfar, I. (2019). A Lax–Wendroff-IMPES scheme for a two-phase flow in porous media using interior penalty discontinuous Galerkin method. Numerical Heat Transfer, Part B: Fundamentals, 75(5), 325-346.
Jamei, M., Ahmadianfar, I., Chu, X., & Yaseen, Z. M. (2020). Prediction of surface water total dissolved solids using hybridized wavelet-multigene genetic programming: New approach. Journal of Hydrology, 589, 125335.
Pourrajab, R., Ahmadianfar, I., Jamei, M., & Behbahani, M. (2020). A meticulous intelligent approach to predict thermal conductivity ratio of hybrid nanofluids for heat transfer applications. Journal of Thermal Analysis and Calorimetry, 1-18.
Jamei, M., & Ahmadianfar, I. (2020). A rigorous model for prediction of viscosity of oil-based hybrid nanofluids. Physica A: Statistical Mechanics and its Applications, 124827.
Ahmadianfar I, Adib A, & Taghian M. (2015). A MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM USING DECOMPOSITION (MOEA/D) AND ITS APPLICATION IN MULTIPURPOSE MULTI-RESERVOIR OPERATIONS. International Journal of Optimization in Civil Engineering. 5 (2) :167-187
Ahmadianfar I, Adib A, & Taghian M. (2016) DETERMINATION OF OPTIMAL HEDGING RULE USING FUZZY SET THEORY FOR MULTI-RESERVOIR OPERATION. International Journal of Optimization in Civil Engineering. 2016; 6 (1) :27-42.