| Snap-drift cuckoo search: A novel cuckoo search optimization algorithm H Rakhshani, A Rahati Applied Soft Computing 52, 771-794, 2017 | 158 | 2017 |
| Enhanced GROMACS: toward a better numerical simulation framework H Rakhshani, E Dehghanian, A Rahati Journal of molecular modeling 25, 1-8, 2019 | 59 | 2019 |
| Optimum design of tuned mass dampers using multi-objective cuckoo search for buildings under seismic excitations S Etedali, H Rakhshani Alexandria engineering journal 57 (4), 3205-3218, 2018 | 56 | 2018 |
| On normalization of inconsistency indicators in pairwise comparisons WW Koczkodaj, JP Magnot, J Mazurek, JF Peters, H Rakhshani, M Soltys, ... International Journal of Approximate Reasoning 86, 73-79, 2017 | 49 | 2017 |
| Neural architecture search for time series classification H Rakhshani, HI Fawaz, L Idoumghar, G Forestier, J Lepagnot, J Weber, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 28 | 2020 |
| Intelligent multiple search strategy cuckoo algorithm for numerical and engineering optimization problems H Rakhshani, A Rahati Arabian Journal for Science and Engineering 42, 567-593, 2017 | 27 | 2017 |
| Speed up differential evolution for computationally expensive protein structure prediction problems H Rakhshani, L Idoumghar, J Lepagnot, M Brévilliers Swarm and Evolutionary Computation 50, 100493, 2019 | 25 | 2019 |
| Hierarchy cuckoo search algorithm for parameter estimation in biological systems H Rakhshani, E Dehghanian, A Rahati Chemometrics and Intelligent Laboratory Systems 159, 97-107, 2016 | 25 | 2016 |
| Mac: Many-objective automatic algorithm configuration H Rakhshani, L Idoumghar, J Lepagnot, M Brévilliers Evolutionary Multi-Criterion Optimization: 10th International Conference …, 2019 | 14 | 2019 |
| Automated machine learning for information retrieval in scientific articles H Rakhshani, B Latard, M Brévilliers, J Weber, J Lepagnot, G Forestier, ... 2020 IEEE Congress on Evolutionary Computation (CEC), 1-7, 2020 | 10 | 2020 |
| On the performance of deep learning for numerical optimization: an application to protein structure prediction H Rakhshani, L Idoumghar, S Ghambari, J Lepagnot, M Brévilliers Applied Soft Computing 110, 107596, 2021 | 8 | 2021 |
| Cuckoo search algorithm and its application for secondary protein structure prediction H Rakhshani, A Rahati, E Dehghanian 2015 2nd International Conference on Knowledge-Based Engineering and …, 2015 | 7 | 2015 |
| A novel population initialization method based on support vector machine E Keedwell, M Brevilliers, L Idoumghar, J Lepagnot, H Rakhshani 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 6 | 2018 |
| The interplay of machine learning and metaheuristics H Rakhshani Université de Haute Alsace-Mulhouse, 2020 | 3 | 2020 |
| From feature selection to continuous optimization H Rakhshani, L Idoumghar, J Lepagnot, M Brévilliers Artificial Evolution: 14th International Conference, Évolution Artificielle …, 2020 | 3 | 2020 |
| A gene expression programming framework for evolutionary design of metaheuristic algorithms A Rahati, H Rakhshani 2016 IEEE Congress on Evolutionary Computation (CEC), 1445-1452, 2016 | 3 | 2016 |
| Unbalanced budget distribution for automatic algorithm configuration S Ghambari, H Rakhshani, J Lepagnot, L Jourdan, L Idoumghar Soft Computing 26 (3), 1315-1330, 2022 | 2 | 2022 |
| Accelerating Protein Structure Prediction Using Active Learning and Surrogate-Based Optimization H Rakhshani, L Idoumghar, J Lepagnot, M Brévilliers, A Rahati 2018 IEEE Congress on Evolutionary Computation (CEC), 1-6, 2018 | 2 | 2018 |
| Automatic hyperparameter selection in Autodock H Rakhshani, L Idoumghar, J Lepagnot, M Brévilliers, E Keedwell 2018 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2018 | 1 | 2018 |
| Les interactions entre le machine learning et la métaheuristique H Rakhshani Mulhouse, 2020 | | 2020 |
Amin RahatiProfessor of Computer Science, University of Sistan and BaluchestanVerified email at cs.usb.ac.ir
