Hojjat Rakhshani

According to our database, Hojjat Rakhshani authored at least 15 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Unbalanced budget distribution for automatic algorithm configuration.

Soheila Ghambari, Hojjat Rakhshani, Julien Lepagnot, Laetitia Jourdan, Lhassane Idoumghar

Soft Comput., 2022

2021

On the performance of deep learning for numerical optimization: An application to protein structure prediction.

Hojjat Rakhshani, Lhassane Idoumghar, Soheila Ghambari, Julien Lepagnot, Mathieu Brévilliers

Appl. Soft Comput., 2021

2020

The interplay of machine learning and metaheuristics. (Les interactions entre le machine learning et la métaheuristique).

Hojjat Rakhshani

PhD thesis, 2020

Neural Architecture Search for Time Series Classification.

Hojjat Rakhshani, Hassan Ismail Fawaz, Lhassane Idoumghar, Germain Forestier, Julien Lepagnot, Jonathan Weber, Mathieu Brévilliers, Pierre-Alain Muller

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Automated Machine Learning for Information Retrieval in Scientific Articles.

Hojjat Rakhshani, Bastien Latard, Mathieu Brévilliers, Jonathan Weber, Julien Lepagnot, Germain Forestier, Michel Hassenforder, Lhassane Idoumghar

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Speed up differential evolution for computationally expensive protein structure prediction problems.

Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers

Swarm Evol. Comput., 2019

From feature selection to continues optimization.

Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers

CoRR, 2019

MAC: Many-objective Automatic Algorithm Configuration.

Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

From Feature Selection to Continuous Optimization.

Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers

Proceedings of the Artificial Evolution, 2019

2018

A Novel Population Initialization Method Based on Support Vector Machine.

Edward C. Keedwell, Mathieu Brévilliers, Lhassane Idoumghar, Julien Lepagnot, Hojjat Rakhshani

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Accelerating Protein Structure Prediction Using Active Learning and Surrogate-Based Optimization.

Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers, Amin Rahati

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Automatic hyperparameter selection in Autodock.

Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers, Edward C. Keedwell

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

On normalization of inconsistency indicators in pairwise comparisons.

Waldemar W. Koczkodaj, Jean-Pierre Magnot, Jirí Mazurek, James F. Peters, Hojjat Rakhshani, Michael Soltys, Dominik Strzalka, Jacek Szybowski, Arturo Tozzi

Int. J. Approx. Reason., 2017

Snap-drift cuckoo search: A novel cuckoo search optimization algorithm.

Hojjat Rakhshani, Amin Rahati

Appl. Soft Comput., 2017

2016

A gene expression programming framework for evolutionary design of metaheuristic algorithms.

Amin Rahati, Hojjat Rakhshani

Proceedings of the IEEE Congress on Evolutionary Computation, 2016