A review on COVID-19 forecasting models I Rahimi, F Chen, AH Gandomi Neural Computing and Applications 35 (33), 23671-23681, 2023 | 308 | 2023 |
Analysis and prediction of COVID-19 using SIR, SEIQR, and machine learning models: Australia, Italy, and UK cases I Rahimi, AH Gandomi, PG Asteris, F Chen Information 12 (3), 109, 2021 | 91 | 2021 |
A comprehensive review and analysis of operating room and surgery scheduling I Rahimi, AH Gandomi Archives of Computational Methods in Engineering 28 (3), 1667-1688, 2021 | 88 | 2021 |
A review on constraint handling techniques for population-based algorithms: from single-objective to multi-objective optimization I Rahimi, AH Gandomi, F Chen, E Mezura-Montes Archives of Computational Methods in Engineering 30 (3), 2181-2209, 2023 | 86 | 2023 |
Scheduling by NSGA-II: Review and bibliometric analysis I Rahimi, AH Gandomi, K Deb, F Chen, MR Nikoo Processes 10 (1), 98, 2022 | 63 | 2022 |
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 | 47 | 2021 |
A comparison of constraint handling techniques on NSGA-II JG Hobbie, AH Gandomi, I Rahimi Archives of Computational Methods in Engineering 28 (5), 3475-3490, 2021 | 34 | 2021 |
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 | 31 | 2012 |
Evolutionary computation in scheduling: A scientometric analysis AH Gandomi, A Emrouznejad, I Rahimi Evolutionary computation in scheduling, 1-10, 2020 | 20 | 2020 |
Feasibility study of using renewable energies in Iranian Seas: A comparative study J Nematian, I Rahimi Renewable Energy 189, 383-391, 2022 | 18 | 2022 |
Big data analytics in supply chain management: Theory and applications I Rahimi, AH Gandomi, SJ Fong, MA Ülkü CRC Press, 2020 | 18 | 2020 |
Techno-economic analysis for using hybrid wind and solar energies in Australia I Rahimi, MR Nikoo, AH Gandomi Energy Strategy Reviews 47, 101092, 2023 | 15 | 2023 |
Objectives, products and demand requirements in integrated supply chain network design: a review SH Tang, I Rahimi, H Karimi International Journal of Industrial and Systems Engineering 23 (2), 181-203, 2016 | 14 | 2016 |
A comparative study on evolutionary multi-objective algorithms for next release problem I Rahimi, AH Gandomi, MR Nikoo, F Chen Applied Soft Computing 144, 110472, 2023 | 11 | 2023 |
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 | 10 | 2013 |
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 |
Big data optimization in electric power systems: A review I Rahimi, A Ahmadi, AF Zobaa, A Emrouznejad, SHEA Aleem Big Data Analytics in Future Power Systems, 55-84, 2018 | 9 | 2018 |
Optimal location selection for a distributed hybrid renewable energy system in rural Western Australia: A data mining approach R Holloway, D Ho, C Delotavo, WY Xie, I Rahimi, MR Nikoo, AH Gandomi Energy Strategy Reviews 50, 101205, 2023 | 7 | 2023 |
A bibliometric analysis on optimization solution methods applied to supply chain of solar energy I Rahimi, J Nematian Archives of Computational Methods in Engineering 29 (6), 4213-4231, 2022 | 7 | 2022 |
Multi-objective combinatorial optimization problems and solution methods M Toloo, S Talatahari, I Rahimi Academic Press, 2022 | 7 | 2022 |