Mokhtar Essaid

According to our database, Mokhtar Essaid authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Conv-ViT fusion for improved handwritten Arabic character classification.

Sarra Rouabhi, Abdennour Azerine, Redouane Tlemsani, Mokhtar Essaid, Lhassane Idoumghar

Signal Image Video Process., 2024

Surrogate-assisted metaheuristics for the facility location problem with distributed demands on network edges.

Muhammad Sulaman, Mahmoud Golabi, Mokhtar Essaid, Julien Lepagnot, Mathieu Brévilliers, Lhassane Idoumghar

Comput. Ind. Eng., 2024

Evolutionary Neural Architecture Search for 2D and 3D Medical Image Classification.

Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar

Proceedings of the Computational Science - ICCS 2024, 2024

Robust Neural Architecture Search Using Differential Evolution for Medical Images.

Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

Multi-surrogate assisted differential evolution for edge-based facility location problem.

Muhammad Sulaman, Mahmoud Golabi, Mokhtar Essaid, Mathieu Brévilliers, Julien Lepagnot, Lhassane Idoumghar

Proceedings of the 10th International Conference on Control, 2024

2023

Random Forest Assisted Differential Evolution for Multi-server Congested p-median Problem.

Muhammad Sulaman, Mahmoud Golabi, Mokhtar Essaid, Mathieu Brévilliers, Julien Lepagnot, Lhassane Idoumghar

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Solving Highly Constrained 3D Heterogeneous Truck Loading Problems: A Contribution to the 2022 EURO/ROADEF Challenge.

Mokhtar Essaid, Abdennour Azerine, Mahmoud Golabi, Julien Lepagnot, Lhassane Idoumghar

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Designing Convolutional Neural Networks using Surrogate assisted Genetic Algorithm for Medical Image Classification.

Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Extreme Learning Machine-based Genetic Algorithm for the facility location problem with distributed demands on network edges.

Mahmoud Golabi, Mokhtar Essaid, Muhammad Sulaman, Lhassane Idoumghar

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

Designing Attention Based Convolutional Neural Network (CNN) Architectures for Medical Image Classification Using Genetic Algorithm Based on Variable Length-Encoding Scheme.

Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar

Proceedings of the Artificial Evolution, 2022

2021

Novel Differential Evolutionary Optimization Approach for an Integrated Motor-Magnetic Gear Used for Propulsion Systems.

Claudia-Violeta Pop, Mokhtar Essaid, Lhassane Idoumghar, Daniel Fodorean

IEEE Access, 2021

2019

Design of hybrid metaheuristics for real-world continuous optimization problems. (Conception des métaheuristiques hybrides pour les problèmes d'optimisation continus et réels).

Mokhtar Essaid

PhD thesis, 2019

GPU parallelization strategies for metaheuristics: a survey.

Mokhtar Essaid, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers

Int. J. Parallel Emergent Distributed Syst., 2019

An Eigenvector-Enhanced Parallel Adaptive Differential Evolution for Electric Motor Design.

Mokhtar Essaid, Mathieu Brévilliers, Julien Lepagnot, Lhassane Idoumghar, Daniel Fodorean

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Hybrid parameter adaptation strategy for differential evolution to solve real-world problems.

Mokhtar Essaid, Mathieu Brévilliers, Julien Lepagnot, Lhassane Idoumghar, Daniel Fodorean

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

A Hybrid Optimization Algorithm for Electric Motor Design.

Mokhtar Essaid, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers, Daniel Fodorean

Proceedings of the Computational Science - ICCS 2018, 2018

A Hybrid Differential Evolution Algorithm for Real World Problems.

Mokhtar Essaid, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers, Daniel Fodorean

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018