Publications:

Journal Papers (ISI):

- Najarzadegan, M.R., Moeini, R., 2024, Using the dragonfly algorithm to find the optimal location of quality sensor of Lee and Deininger and Second and Third networks of EPANET software to reduce the contaminated water values, Results in Engineering, 23, 102606

- Jazayeri, P., Moeini, R., 2024, District metered areas determination for water distribution networks using improved Girvan-Newman algorithm, Ain Shams Engineering Journal, 102676

- Moeini, R., Sarhadi, K., 2023. Cyclic storage approach for conjunctive operation of surface and groundwater systems (Case study: ZarrinehRoud catchment area),Soft Computing, 28(3), 1989–2014

- Moradizadeh, M., Alijanian, M., Moeini, R., 2023. Spatial Downscaling of Snow Water Equivalent Using Machine Learning Methods Over the Zayandehroud River Basin, Iran. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2023, 91(5), 391–404

- Najarzadegan, M.R., Moeini, R., 2023. Optimal Design of Water Distribution Network Using Improved Artificial Bee Colony Algorithm. Iranian Journal of Science and Technology - Transactions of Civil Engineering, 47(5), pp. 3123–3136

- Hoseingholi, P., Moeini, R., 2023, Pipe failure prediction of wastewater network using genetic programming: Proposing three approaches, Ain Shams Engineering Journal ,14(5), 101958

- Mousavizadeh, S.R., Moeini, R., Shanehsazzadeh, A., 2023, Management of aquifer and dam reservoir quantitative-qualitative interaction, Agricultural Water Management, 277, 108116

- Moeini, R., Hadiyan, P.P., 2022, Hybrid methods for reservoir operation rule curve determination considering uncertain future condition, Sustainable Computing: Informatics and Systems , 35, 100727

- Hadiyan, P.P., Moeini, R., Ehsanzadeh, E., Karvanpour, M., 2022, Trend Analysis of Water Inflow Into the Dam Reservoirs Under Future Conditions Predicted By Dynamic NAR and NARX Models, Water Resources management , 36(8), 2703–2723

- Moeini, R., Nasiri, K. 2021, Hybridizing ANN-NSGA-II model with genetic programming method for reservoir operation rule curve determination (Case study Zayandehroud dam reservoir), soft computing, 25, 14081-14108

- Moeini, R., Zare, M.R., Karimian, F. 2021, Reduce repair cost of wastewater pipelines for using trenchless and open cut technology, Ain Shams Engineering Journal, 12(1),423-435

- Moeini, R., Babaei, M., E. 2020, Hybrid SVM-CIPSO methods for optimal operation of reservoir considering unknown future condition, Applied Soft Computing Journal, 2020, 95, 106572

-  Hadiyan, p.p., Moeini, R. Ehsanzahed, E. 2020. Application of static and dynamic artificial neural networks for forecasting inflow discharges, case study: Sefidroud Dam reservoir, Sustainable Computing: Informatics and Systems, 2020, 27, 100401

- Moeini, R., Soghrati, F., 2020, Optimum outflow determination of the multi-reservoir system using constrained improved artificial bee colony algorithm, Soft computing, 24(14), 10739-10754.

-Jazayeri, P., Moeini, R., 2020, Optimal design of cascade spillway using meta-heuristic algorithms: comparison of four different algorithms, Environmental Engineering and Management Journal, 19(4), 687-700.

- Moeini, R., Soltani-nezhad, M. 2020, Extension of the constrained gravitational search algorithm for solving multi reservoir operation optimization problem, Journal of Environmental Informatics, 36(2), 70-81.

- Soghrati, F., Moeini, R., 2020, Deriving optimal operation of reservoir proposing improved artificial bee colony algorithm: standard and constrained versions, Journal of Hydroinformatics, 22(2), 263-280

- Moeini, R., Babaei, M., Ehsanzahed, E. 2019, Artificial neural network and support vector machine models for inflow prediction of dam reservoir (case study: Zayandehroud dam reservoir), Water resource management, 33(6), pp. 2203-2218 .

- Moeini, R. 2019, ant intelligent applied to sewer network design optimization problem: using four different algorithms, Environmental Engineering and Management Journal, 18(5), pp. 957-971.

- Moeini, R. and Afshar M.H. 2019, Hybridizing ant colony optimization algorithm with nonlinear programming method for effective optimal design of sewer networks, water environment research, 91(4), pp. 300-321

- Moeini, R. and Afshar M.H. 2019, Extension of the Hybrid Ant Colony Optimization Algorithm for Layout and size optimization of sewer networks, Journal of Environmental Informatics, 33(2), pp. 68-81.

- Moeini, R., Moulaei, S.A.M. 2018, Simulation-optimization model for design of water distribution system using ant based algorithms, Journal of Engineering Research, 15(1), pp. 42-60.

- Moeini, R. 2018, Constant and varying Manning coefficient for hydraulic analysis of sewer network design optimization problem using three different evolutionary algorithms, International Journal of Operational Research, 33(4), pp. 512-537

-Moeini, R., Soltani-nezhad, M. and Daei, M. 2017, Constrained Gravitational Search Algorithm for large scale reservoir operation optimization problem, Engineering Applications of Artificial Intelligence, 62, pp. 222-233

- Moeini, R. and Babaei, M. 2017, Constrained Improved Particle Swarm Optimization algorithm for optimal operation of large scale reservoir: proposing three approaches, Evolving system, 8(4), pp. 1-20

- Moeini, R. and Afshar, M.H. 2017, Arc based Ant Colony Optimization Algorithm for optimal design of gravitational sewer networks, Ain Shams Engineering Journal, 8, pp.. 207-223

- Moeini, R. 2017, Arc Based Ant colony Optimization Algorithm to solve sewer network design optimization problem, Scientia Iranica, Transactions A: Civil Engineering, 24 (3), pp. 953- 965.

- Rohani, M., Afshar, M.H. and Moeini, R., 2015, Layout and Size Optimization of Sewer Networks by hybridizing the GHCA Model with Heuristic Algorithms. Scientia Iranica. Transactions A: Civil Engineering, 22(5), pp. 1742-1754.

- Moeini, R.  and Afshar, M.H., 2013, Constrained Ant Colony Optimization Algorithm for the layout and size optimization of sanitary sewer networks, Urban Water Journal, 10(3), pp. 154-173.

- Moeini, R.  and Afshar, M.H., 2013, Extension of the Constrained Ant Colony Optimisation Algorithms for Optimal operation of Multi-reservoir Systems, journal of hydroinformatics, 15(1), pp. 155-173.

- Moeini, R.  and Afshar, M.H., 2012, Layout and size optimization of Sanitary Sewer network by intelligent ants, Advance in engineering software, 51, pp. 49-62.

-Amani, J. and Moeini, R., 2012, Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network, Scientia Iranica, Transaction A: Civil Engineering, 19(2), pp. 242-248.

- Moeini, R.  and Afshar, M.H., 2011, Arc Based Constrained Ant Colony Optimisation Algorithms for the Optimal Solution of Hydropower Reservoir Operation Problems; Canadian journal of civil engineering, 38, pp. 811–824.

- Tabesh, M., Jamasb, M. and Moeini, R., 2011, Calibration of water distribution hydraulic models considering pressure dependent analysis; Urban Water Journal, 8(2), pp. 93 - 102.

- Moeini, R., Afshar, A. and Afshar, M.H., 2010, Fuzzy Rule Based Model for Hydropower Reservoirs Operation; International Journal of Electrical Power & Energy Systems, 33(2), pp. 171-178.

- Moeini, R. and Afshar, M.H., 2009, Application of Ant colony optimization Algorithm for Optimal Operation of Reservoirs: A Comparative Study of Three Proposed Formulations, Scientia Iranica, Transaction A: Civil Engineering, 16(4), pp. 273-285.

- Afshar, M.H. and Moeini, R., 2008, Partially and Fully Constrained Ant Algorithms for the Optimal Solution of Large Scale Reservoir Operation Problem, Water resource Management, 22, pp. 1835-1857.

Other Journal Papers:

- Alikhani, M.R., Moeini, M., 2023. Genetic Programming Method in Urban Water Consumption Prediction (Case Study: Najafabad City). Journal of Water and Sustainable Development, 10 (3), 87-98(in Persian)

- Hoseingholi, P., Moeini, R., Zare, M.R., 2023. Prioritize Repair of Wastewater Network Using Asset Management Approach (A Case Study: Region Two of Isfahan Wastewater Network). Journal of Civil and Environmental Engineering 53 (111), 108-118 (in Persian)

-  Najarzadegan, M.R.; Moeini, R. 2022, Optimal Design of Urban Water Distribution Network Using Improved Artificial Bee Colony Algorithm, Journal of Water and Sustainable Development, 9(3), 97-106 (in Persian)

- Alijanian, M.A.; Moradizadeh, M.; Moeini, R., 2022, Estimation of precipitation using PERSIANN-CDR and CMC-based satellite productions (Case study: upstream of the Zayandehroud dam), Iranian journal of Ecohdrology, 9(1), 157-172 (in Persian)

- Mousavizadeh, S. R., Moeini, R. and  Shanehsazzadeh, A. 2022, Aquifer transmissivity estimation using different interpolation methods (Case study: Damaneh-Daran Aquifer), Hydrogeology, 7 (1), 91-104 (in Persian)

- Babaei, M., Moeini, R. and  Ehsanzade, E. 2021, The hybrid model for reservoir operation optimization problem using inflow forecasting approach, Case study: Dez Dam, journal of  Sharif, 37.2 (3), 117-126 (in Persian)

- Hoseingholi, P., Moeini, R., Zare, M.R., 2020, Number of Blockage Prediction for Sanitary Sewer Networks (Case Study: Isfahan Region 2), Journal of Water and Wastewater, 31(1), 86-98. (in Persian).

- Karimian, F., Moeini, R., Zare, M.R., 2019, Developing the Performance of Sewage Pipelines Repairing Using Trenchless Methods (Case Study: Isfahan), Journal of Water and Wastewater, 119, 18-31. (in Persian).

- Moeini, R. 2018, Hydraulic behavior modeling of the simple tank using the Finite Difference Method: a comparison of four different methods, Journal of Civil and Environmental Researches, 4(1), 1-13. (in Persian).

-Jazayeri, P., Moeini, R., 2018, Minimization the construction cost of stepped spillway using Gravitational Search Algorithm, Journal of Iranian dam and hydropower, 5(18), 36-25. (in Persian).

- Farahnakian, T., Moeini, R., Mousavi, S.F., 2018, Optimal operation of single-reservoir system of Dez dam using charged system search algorithm, Journal of water and soil conservation, 25(1), 107-125. (in Persian).

- Moeini, R., Soltani-nezhad, M., Daei, M., 2018, Ggravitational search algorithm to solve optimal operation problem of single reservoir system, case study: Dez reservoir, Sharif journal- civil engineering, 33.2 (4.1), 71-81. (in Persian).

- Moeini, R., 2018, New formulation of Ant Colony Optimization Algorithm for optimal design of sanitary pumped sewer network, Iranian water research journal, 24, 119-127. (in Persian).

- Moeini, R., 2017, Optimal Design of Sewer Network Size using Ant Colony Optimization Algorithm: Comparing Performance of Four Different Algorithms, Computational Methods in Engineering, 36(1), pp. 115-136.(in Persian).

-Pishgah Hadian, P.,  Ehsanzade, E., and Moeini, R. 2016,Comparison of Different Trend Analysis Methods for Hydro-Climatic Variables, Case Study: Sefidroud Dam, Iran-Water Resource Research Journal, 12(2), pp. 49-66 (in Persian).

- Moeini, R., 2015, Performance evaluation of the Ant Colony Optimization algorithm for the optimal operation of multi-reservoir system: four algorithms comparison, Iran-Water Resource Research Journal, 11(2), pp. 29-46 (in Persian).

- Afshar, M.H., Rezaei, S.E. and Moeini, R., 2015, Ant Colony Optimization Algorithms for Optimal Operation of Reservoirs: A Comparative Study of Four Algorithms, Civil Engineering journal of  Ferdosi University, 25(2), pp. 117-134 (in Persian).

- Moeini, R. and Afshar, M.H.,  2014, Optimization of Integrated Design of Wastewater Treatment and Sanitary Sewer Network using Ant Colony Optimization Algorithm, journal of Water and Wastewater, 83(1), pp. 14-24 (in Persian).

- Afshar, M.H., Rezaei, S.E. and Moeini, R., 2011, Optimal Reservoir Operation using Deterministic Adaptive Refinement mechanism for Ant Algorithms, Civil Engineering journal of Ferdosi University, 23(1), pp. 65-83 (in Persian).

- Afshar, M.H., Rezaei, S.E. and Moeini, R., 2010, Reservoir Operation Optimization using Stochastic Adaptive Refinement of Ant Algorithms, Iran-Water Resource Research Journal, 6(1), pp. 1-13 (in Persian).

- Tabesh, M., Jamasb, M. and Moeini, R., 2010, Calibration of hydraulic simulation of water distribution model considering different conduction variables and condition use, Journal of hydraulic, 4(3), pp. 69 – 77 (in Persian).

- Moeini, R. and Afshar, M.H.,  2009, Optimal Operation of Reservoir using Max-Min Ant System, journal of  Sharif, 46, pp. 85-93 (in Persian).

International Conference Papers:

- Moeini, R.  and Afshar, M.H., 2013, Sewer network design optimization problem using Ant Colony Optimization Algorithm and Tree Growing Algorithm, EVOLVE 2013, Holland.

- Moeini, R.  and Afshar, M.H., 2008, Graph Based Formulation for Optimal Operation of Hydropower reservoirs by incrementally solution building ants; ACDM 2008 ,29th April to 1st May 2008, Engineers House, Bristol, UK.

- Moeini, R.  and Afshar, M.H., 2007, Optimal Operation of reservoirs by incrementally  solution building ants; the 7th World Congress on Structural and Multidisciplinary Optimization, Seoul, Korea.

Other Conference Papers:

- Pishgah Hadian, P., Moeini, R. and Ehsanzade, E. 2015, Performance evaluation of static and dynamic Artificial Neural Network (ANN) for inflow forecasting of reservoir: Case study of Sefidrod  reservoir, In proc. of  14th conference of Hydraulic, 11-13 November 2015, University of Shahid Nikbakht, Zhedan, Systan va Balochestan, Iran

- Babaei, M., Moeini, R. and Ehsanzade, E. 2015, Optimal operation of Dez reservoir using Improved Particle Swarm Optimization algorithm: proposing two formulations, In proc. of  14th conference of Hydraulic, 11-13 November 2015, University of Shahid Nikbakht, Zhedan, Systan va Balochestan, Iran

- Soltaninejad, M., Moeini, R. and Daei, M. 2015, Solving optimal operation problem of single reservoir using Gravitational Search Algorithm: Case study of Dez reservoir, In proc. of  14th conference of Hydraulic, 11-13 November 2015, University of Shahid Nikbakht, Zhedan, Systan va Balochestan, Iran

- Pishgah Hadian, P. and Moeini, R., 2015, A comparison between traditional and mathematical programming methods for optimal design of diversion system, In proc. of 10th International Congress on Civil Engineering, 5-7 May 2015 University of Tabriz, Tabriz, Iran

- Moeini, R., 2015, Rank Ant System optimization algorithm to solve multi reservoir system operation optimization problem, In proc. of 10th International Congress on Civil Engineering, 5-7 May 2015 University of Tabriz, Tabriz, Iran

- Moeini, R., 2014, Optimal operation of hydropower Dez reservoir using AS rank, In proc. of 8th national Congress on Civil Engineering, 7-8 May 2014, Babol Noshirvani University of Technology, Babol, Iran

- Moeini, R., 2014, Elitist Ant System optimization algorithm for multi reservoir system operation optimization problem, In proc. of 5th national Congress on Water Resource Management, 20-21 March 2014, Shahid Beheshti University, Power and water University of Technology, Tehran, Iran

- Mousavi S.A., Moeini, R., 2013, Max-Min Ant System for Optimal Design of water distribution network, In proc. of  12th conference of Hydraulic, 29-30 October 2013, University of Agriculture and Natural Resource, Karaj, Iran

- Mousavi S.A., Moeini, R., 2013, Optimal Design of water distribution network using Ant System, In proc. of  national Congress on Water and Wastewater, 26-27 Februrary 2013, Graduate University of Advanced Technology, Kerman, Iran

- Moeini, R., Afshar, M.H., 2013, Optimal design of layout and size of sewer network using hybrid intelligent ant algorithm, In proc. of  national Congress on Water and Wastewater, 26-27 Februrary 2013, Graduate University of Advanced Technology, Kerman, Iran

- Moeini, R., Afshar, M.H., 2010, Improvement the performance of ant colony optimization algorithm: applied to optimal design of Dez reservoir, In proc. of  1th Iranian national conference on Applied Research in Water Resource, 11-12 May 2010, Kermanshah university of technology, Kermanshah, Iran

- Moeini, R., Afshar, M.H., 2008, Constrained ant colony optimization algorithm to solve constrained sequential problem, In proc. of 3th national Congress on Water Resource Management, 14-15 October 2008, University of Tabriz, Tabriz, Iran

- Moeini, R., Afshar, M.H., 2008, Solving the hydropower Dez reservoir operation optimization problem using Max-Min Ant System, In proc. of 4th national Congress on Civil Engineering, 6-9 May 2008, University of Tehran, Tehran, Iran

- Moeini, R., Afshar, M.H., 2007, Solving the reservoir operation optimization problem using Max-Min Ant System: considering water release as decision variable, In proc. of 3th national Congress on Civil Engineering, 1-2 May 2007, University of Tabriz, Tabriz, Iran

- Moeini, R., Afshar, M.H., 2007, Optimal operation of resevoiur using Max-Min Ant System, In proc. of 2th national Congress on Water Resource Management, 23-24 January 2007, Isfahan university of technology, Isfahan, Iran

Students:

- Jazayeri Farsani, S.P., 2024, Pressure management for water distribution network using quantity-quality approach to reduce leakage value and investigation of its effect on residual chlorine concentration,, University of Isfahan, Faculty of civil and transportation engineering, civil engineering department

 -  Mousavizadeh , S.R., 2023, Investigating management scenarios with the quantitative-qualitative integrated simulation of surface and ground water resources approach, University of Isfahan, Faculty of civil and transportation engineering, civil engineering department

-   Hosseini, S.H., 2023, Optimal Quantitative-Qualitative Multi-Purpose Conjunctive Use of Surface and Ground Water Resources Using NSGA-III Algorithm, University of Isfahan, Faculty of civil and transportation engineering, civil engineering department

-  Varshabi, N. 2023, Quantitative – qualitative approach for optimal operation of single -reservoir system using NSGA-III algorithm, University of Isfahan, Faculty of civil and transportation engineering, civil engineering department

- Najarzadegan, M.R. 2022, Hydraulic analysis of water supply network in order to optimally locate sensors water quality monitoring, University of Isfahan, Faculty of civil and transportation engineering, civil engineering department