A gene expression programming framework for evolutionary design of metaheuristic algorithms. - Amin Rahati; Hojjat Rakhshani (CEC, 2016)

Snap-drift cuckoo search: A novel cuckoo search optimization algorithm. - Hojjat Rakhshani; Amin Rahati (Appl. Soft Comput., 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)

Automatic hyperparameter selection in Autodock. - Hojjat Rakhshani; Lhassane Idoumghar; Julien Lepagnot; Mathieu Brévilliers; Edward C. Keedwell (BIBM, 2018)

Accelerating Protein Structure Prediction Using Active Learning and Surrogate-Based Optimization. - Hojjat Rakhshani; Lhassane Idoumghar; Julien Lepagnot; Mathieu Brévilliers; Amin Rahati (CEC, 2018)

A Novel Population Initialization Method Based on Support Vector Machine. - Edward C. Keedwell; Mathieu Brévilliers; Lhassane Idoumghar; Julien Lepagnot; Hojjat Rakhshani (SMC, 2018)

From Feature Selection to Continuous Optimization. - Hojjat Rakhshani; Lhassane Idoumghar; Julien Lepagnot; Mathieu Brévilliers (EA, 2019)

MAC: Many-objective Automatic Algorithm Configuration. - Hojjat Rakhshani; Lhassane Idoumghar; Julien Lepagnot; Mathieu Brévilliers (EMO, 2019)

From feature selection to continues optimization. - Hojjat Rakhshani; Lhassane Idoumghar; Julien Lepagnot; Mathieu Brévilliers (CoRR, 2019)

Speed up differential evolution for computationally expensive protein structure prediction problems. - Hojjat Rakhshani; Lhassane Idoumghar; Julien Lepagnot; Mathieu Brévilliers (Swarm Evol. Comput., 2019)

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 (CEC, 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 (IJCNN, 2020)

The interplay of machine learning and metaheuristics. (Les interactions entre le machine learning et la métaheuristique). - Hojjat Rakhshani (2020)

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)

Unbalanced budget distribution for automatic algorithm configuration. - Soheila Ghambari; Hojjat Rakhshani; Julien Lepagnot; Laetitia Jourdan; Lhassane Idoumghar (Soft Comput., 2022)