| Evolutionary many-objective algorithms for combinatorial optimization problems: a comparative study R Behmanesh, I Rahimi, AH Gandomi Archives of Computational Methods in Engineering 28 (2), 673-688, 2021 | 46 | 2021 |
| Surgical case scheduling problem with fuzzy surgery time: An advanced bi-objective ant system approach R Behmanesh, M Zandieh Knowledge-Based Systems 186, 104913, 2019 | 38 | 2019 |
| Improve poultry farm efficiency in Iran: using combination neural networks, decision trees, and data envelopment analysis (DEA) I Rahimi, R Behmanesh INTERNATIONAL JOURNAL OF APPLIED OPERATIONAL RESEARCH 2 (3), 69-84, 2012 | 32 | 2012 |
| The surgical case scheduling problem with fuzzy duration time: An ant system algorithm R Behmanesh, M Zandieh, SM Hadji Molana Scientia Iranica, 2019 | 13 | 2019 |
| Using combination of optimized recurrent neural network with design of experiments and regression for control chart forecasting R Behmanesh, I Rahimi Business Engineering and Industrial Applications Colloquium 1 (1), 435-439, 2012 | 10 | 2012 |
| Scientometric analysis of scheduling in renewable energy: a keyword and citation analysis I Rahimi, R Behmanesh, A Ahmadi Journal of Energy and Power Technology 1 (4), 1-20, 2019 | 9 | 2019 |
| A hybrid method for prediction and assessment efficiency of decision making units: Real case study: Iranian poultry farms I Rahimi, R Behmanesh, RM Yusuff International Journal of Decision Support System Technology (IJDSST) 5 (1 …, 2013 | 9 | 2013 |
| IMPROVED ANT COLONY OPTIMIZATION FOR MULTI-RESOURCE JOB SHOP SCHEDULING: A SPECIAL CASE OF TRANSPORTATION. R Behmanesh, I Rahimi Economic Computation & Economic Cybernetics Studies & Research 55 (4), 2021 | 8 | 2021 |
| Stock portfolio optimization in fireworks algorithm using risk value and comparison with Particle Swarm Optimization (PSO) AA Shahriari, S Daei-Karimzadeh, R Behmanesh Journal of Financial Management Perspective 11 (35), 9-37, 2021 | 7 | 2021 |
| MULTIPLE RESOURCE SURGICAL CASE SCHEDULING PROBLEM: ANT COLONY SYSTEM APPROACH R BEHMANESH, M ZANDIEH, SMH MOLANA ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH 54 (1 …, 2020 | 7 | 2020 |
| Nephron algorithm optimization: Inspired of the biologic nephron performance R Behmanesh International Journal of Applied Metaheuristic Computing (IJAMC) 7 (1), 38-64, 2016 | 6 | 2016 |
| A NEW MATHEMATICAL MODEL FOR STAFF SCHEDULING IN THE OPERATING ROOM BASED ON THEIR PREFERENCES. M Pasandideh, R Behmanesh Economic Computation & Economic Cybernetics Studies & Research 56 (4), 2022 | 4 | 2022 |
| Advanced ant colony optimization in healthcare scheduling R Behmanesh, I Rahimi, M Zandieh, AH Gandomi Evolutionary Computation in Scheduling, 37-72, 2020 | 4 | 2020 |
| Control chart forecasting: A hybrid model using recurrent neural network, design of experiments and regression R Behmanesh, I Rahimi 2012 IEEE Business, Engineering & Industrial Applications Colloquium (BEIAC …, 2012 | 3 | 2012 |
| Robust least angle regression and LASSO using bootstrap aggregation (real case study: Iranian poultry farms) R Behmanesh, A Saghaei International Journal of Industrial and Systems Engineering 26 (2), 201-227, 2017 | 2 | 2017 |
| Nephron algorithm: a new approach for rank-oriented clustering case study: supplier selection of multinational company R Behmanesh, I Rahimi International Journal of Science and Engineering Investigations 1 (7), 1-5, 2012 | 2 | 2012 |
| Prioritizing improvable human resources management processes based upon the process classification framework using IPA approach YZ Mehrjerdi, MS Owlia, R Behmanesh, AM Taheri 2011 IEEE international conference on quality and reliability, 52-56, 2011 | 2 | 2011 |
| Prioritizing human capital improvement processes in Isfahan Oil Refinery Company based on RCF with approach IPA R Behmanesh, Y Zaree Mehrjoie, MS Olia Jornal of Production and Operations Management, 3 (4), 39-63, 2010 | 2 | 2010 |
| Comparison of the ability of modern and conventional metaheuristic and regression models to predict stock returns by accounting variables and presenting an effective model M Kohansal Kafshgari, A Zarei Sodani, R Behmanesh Advances in Mathematical Finance and Applications 7 (2), 447-466, 2022 | 1 | 2022 |
| Presentation of intelligent Meta-heuristic Hybrid models (ANFIS-MGGP) to predict stock returns with more accuracy and speed than other Meta-heuristic methods. M Kohansal Kafshgari, A Zarei, R Behmanesh Financial Engineering and Portfolio Management 12 (47), 390-413, 2021 | 1 | 2021 |
Mostafa ZandiehProfessor of Industrial Engineering, Shahid Beheshti University, Tehran, IranZweryfikowany adres z sbu.ac.ir