Segueix
Hojjat Rakhshani
Títol
Citada per
Citada per
Any
Snap-drift cuckoo search: A novel cuckoo search optimization algorithm
H Rakhshani, A Rahati
Applied Soft Computing 52, 771-794, 2017
1112017
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
402017
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
342018
Enhanced GROMACS: toward a better numerical simulation framework
H Rakhshani, E Dehghanian, A Rahati
Journal of Molecular Modeling 25 (12), 1-8, 2019
232019
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
222016
Intelligent multiple search strategy cuckoo algorithm for numerical and engineering optimization problems
H Rakhshani, A Rahati
Arabian Journal for Science and Engineering 42 (2), 567-593, 2017
202017
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
182019
Mac: Many-objective automatic algorithm configuration
H Rakhshani, L Idoumghar, J Lepagnot, M Brévilliers
International Conference on Evolutionary Multi-Criterion Optimization, 241-253, 2019
132019
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
92020
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
72015
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
52020
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
22021
The interplay of machine learning and metaheuristics
H Rakhshani
Université de Haute Alsace-Mulhouse, 2020
22020
From feature selection to continuous optimization
H Rakhshani, L Idoumghar, J Lepagnot, M Brévilliers
International Conference on Artificial Evolution (Evolution Artificielle), 1-12, 2019
22019
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
22016
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
12018
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
12018
Unbalanced budget distribution for automatic algorithm configuration
S Ghambari, H Rakhshani, J Lepagnot, L Jourdan, L Idoumghar
Soft Computing 26 (3), 1315-1330, 2022
2022
Unbalanced budget distribution for automatic algorithm configuration
L Jourdan, S Ghambari, H Rakhshani, J Lepagnot, L Idoumghar
Springer Verlag, 2021
2021
Les interactions entre le machine learning et la métaheuristique
H Rakhshani
Mulhouse, 2020
2020
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
Articles 1–20