| Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network J Amani, R Moeini Scientia Iranica 19 (2), 242-248, 2012 | 149 | 2012 |
| Layout and size optimization of sanitary sewer network using intelligent ants R Moeini, MH Afshar Advances in Engineering Software 51, 49-62, 2012 | 84 | 2012 |
| Calibration of water distribution hydraulic models: A comparison between pressure dependent and demand driven analyses M Tabesh, M Jamasb, R Moeini Urban Water Journal 8 (2), 93-102, 2011 | 80 | 2011 |
| Fuzzy rule-based model for hydropower reservoirs operation R Moeini, A Afshar, MH Afshar International Journal of Electrical Power & Energy Systems 33 (2), 171-178, 2011 | 77 | 2011 |
| Partially and fully constrained ant algorithms for the optimal solution of large scale reservoir operation problems MH Afshar, R Moeini Water Resources Management 22, 1835-1857, 2008 | 77 | 2008 |
| Artificial neural network and support vector machine models for inflow prediction of dam reservoir (case study: Zayandehroud dam reservoir) M Babaei, R Moeini, E Ehsanzadeh Water Resources Management 33, 2203-2218, 2019 | 72 | 2019 |
| Extension of the constrained ant colony optimization algorithms for the optimal operation of multi-reservoir systems R Moeini, MH Afshar Journal of Hydroinformatics 15 (1), 155-173, 2013 | 63 | 2013 |
| Application of static and dynamic artificial neural networks for forecasting inflow discharges, case study: Sefidroud Dam reservoir PP Hadiyan, R Moeini, E Ehsanzadeh Sustainable Computing: Informatics and Systems 27, 100401, 2020 | 58 | 2020 |
| Application of an ant colony optimization algorithm for optimal operation of reservoirs: a comparative study of three proposed formulations MH Afshar, R Moeini Scientia Iranica 16 (4), 2009 | 49 | 2009 |
| Arc based ant colony optimization algorithm for optimal design of gravitational sewer networks R Moeini, MH Afshar Ain Shams Engineering Journal 8 (2), 207-223, 2017 | 44 | 2017 |
| Constrained gravitational search algorithm for large scale reservoir operation optimization problem R Moeini, M Soltani-Nezhad, M Daei Engineering Applications of Artificial Intelligence 62, 222-233, 2017 | 40 | 2017 |
| Constrained improved particle swarm optimization algorithm for optimal operation of large scale reservoir: proposing three approaches R Moeini, M Babaei Evolving Systems 8, 287-301, 2017 | 35 | 2017 |
| Constrained Ant Colony Optimisation Algorithm for the layout and size optimisation of sanitary sewer networks R Moeini, MH Afshar Urban Water Journal 10 (3), 154-173, 2013 | 35 | 2013 |
| Arc-based constrained ant colony optimisation algorithms for the optimal solution of hydropower reservoir operation problems R Moeini, MH Afshar Canadian Journal of Civil Engineering 38 (7), 811-824, 2011 | 35 | 2011 |
| Extension of the hybrid ant colony optimization algorithm for layout and size optimization of sewer networks R Moeini, MH Afshar Journal of Environmental Informatics 33 (2), 68-81, 2018 | 24 | 2018 |
| Deriving optimal operation of reservoir proposing improved artificial bee colony algorithm: standard and constrained versions F Soghrati, R Moeini Journal of Hydroinformatics 22 (2), 263-280, 2020 | 23 | 2020 |
| Sewer network design optimization problem using ant colony optimization algorithm and tree growing algorithm R Moeini, MH Afshar EVOLVE-A Bridge between Probability, Set Oriented Numerics, and Evolutionary …, 2013 | 21 | 2013 |
| Extension of the Constrained Gravitational Search Algorithm for Solving Multi-Reservoir Operation Optimization Problem. R Moeini, M Soltani-Nezhad Journal of Environmental Informatics 36 (2), 2020 | 18 | 2020 |
| Hybrid SVM-CIPSO methods for optimal operation of reservoir considering unknown future condition R Moeini, M Babaei Applied Soft Computing 95, 106572, 2020 | 18 | 2020 |
| Optimum outflow determination of the multi-reservoir system using constrained improved artificial bee colony algorithm R Moeini, F Soghrati Soft Computing 24 (14), 10739-10754, 2020 | 16 | 2020 |
M.H. AfsharRetired associate professor of Iran University of Science and technologyEmail verificata su iust.ac.ir
