Deterministic metaheuristic based on fractal decomposition for large-scale optimization. - Amir Nakib; S. Ouchraa; Nadiya Shvai; Leo Souquet; El-Ghazali Talbi (Appl. Soft Comput., 2017)

Multi-node environment strategy for Parallel Deterministic Multi-Objective Fractal Decomposition. - Leo Souquet; Amir Nakib (CoRR, 2019)

Parallel fractal decomposition based algorithm for big continuous optimization problems. - Amir Nakib; Leo Souquet; El-Ghazali Talbi (J. Parallel Distributed Comput., 2019)

Design of optimization algorithms for large scale continuous problems : application on deep learning. (Conception d'algorithmes d'optimisation pour problèmes en grandes dimensions : application au Deep Learning). - Léo Souquet (2019)

Hyperparameters optimization for neural network training using Fractal Decomposition-based Algorithm. - Léo Souquet; Nadiya Shvai; Arcadi Llanza; Amir Nakib (CEC, 2020)

HyperFDA: a bi-level optimization approach to neural architecture search and hyperparameters' optimization via fractal decomposition-based algorithm. - Léo Souquet; Nadiya Shvai; Arcadi Llanza; Amir Nakib (GECCO Companion, 2020)

Fractal Decomposition Approach for Continuous Multi-Objective Optimization Problems. - Léo Souquet; El-Ghazali Talbi; Amir Nakib (IEEE Access, 2020)

Convolutional neural network architecture search based on fractal decomposition optimization algorithm. - Léo Souquet; Nadiya Shvai; Arcadi Llanza; Amir Nakib (Expert Syst. Appl., 2023)