Ramtin Moeini

Associate Professor, University of Isfahan

Research area:

- Environmental and Water Resource Engineering
- Water & Wastewater Network

Education:

BSc : Civil Engineering, Isfahan University of Technology, 1998-2002

MSc : Civil Engineering, Iran University of Science Technology, 2004-2007

PhD : Civil Engineering, Iran University of Science Technology, 2007-2012

MSc thesis: "Fully and Partially Constrained Ant Algorithm for the optimization of sequential problems: Application to optimal operation of reservoirs"

PhD thesis: "Intelligent ant colony optimization algorithms for the solution of size-layout optimization problem: Application to water industry "

Courses:

Undergraduate: Fluid Mechanics, Hydraulics, Water and Wastewater Engineering, Water and Wastewater Engineering Project, Civil Engineering Systems, Hydraulic Structures, Dynamics

Postgraduate: Hydraulic Design of Structures, Water Resource System Analysis 1&2, Urban Water Management

Interests:

- Optimization (especially Meta-heuristic Algorithms)

- Hydro-System Engineering and Management

- Water Resource System Planning and Management

- Water and Wastewater Networks Analysis and Design

Publications:

Journal Papers (ISI):

- 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:

- 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, [in press] (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:

- Sarhadi, K. 2019, Conjunctive use of surface and ground water systems using cyclic storage approach (case study: Zarrinehroud basin), University of Isfahan, Faculty of civil and transportation engineering, civil engineering department

- Nasiri, K. 2019, Rule curves determination for reservoir operation under uncertainty condition using genetic programming, University of Isfahan, Faculty of civil and transportation engineering, civil engineering department

- Hoseingholi, P. 2019, Failure prediction for sewer network using genetic programming and prioritize repair to reduce repair cost, University of Isfahan, Faculty of civil and transportation engineering, civil engineering department

- Farahnakian T.S. 2017, optimal operation of dam-reservoir systems using unconstrained and constrained Charged system search algorithm, Semnan University, Faculty of civil engineering, civil engineering department

- Jazayeri, P. 2017, Optimal design of stepped spillway using Gravitational Search Algorithm, University of Isfahan, Faculty of civil and transportation engineering, civil engineering department

- Karimian, F. 2017, Performance extension of sewer pipelines rehabilitation using new trenchless methods, University of Isfahan,Faculty of civil and transportation engineering, civil engineering department

- Soghrati, F. 2017, Optimal operation of dam-reservoir systems using Artificial Bee Colony algorithm, University of Isfahan, Faculty of civil and transportation engineering, civil engineering department

- Soltaninejad, M. 2016, Gravitational Search Algorithm for optimal operation of dam-reservoir systems, University of Isfahan, Faculty of engineering, civil engineering department

- Pishgah Hadian, P. 2016, Determining reservoir operation rules under uncertainty inflow conditions, University of Isfahan, Faculty of engineering, civil engineering department

- Babaei, M. 2016, Optimal operation of reservoirs based on inflow forecasting approach, University of Isfahan, Faculty of engineering, civil engineering department