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Mokhtar Essaid
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2020 – today
- 2024
- [j5]Muhammad Sulaman
, Mahmoud Golabi
Surrogate-assisted metaheuristics for the facility location problem with distributed demands on network edges. Comput. Ind. Eng. 188: 109931 (2024) - [j4]Muhammad Junaid Ali, Mokhtar Essaid, Laurent Moalic, Lhassane Idoumghar:
A review of AutoML optimization techniques for medical image applications. Comput. Medical Imaging Graph. 118: 102441 (2024) - [j3]Sarra Rouabhi, Abdennour Azerine, Redouane Tlemsani, Mokhtar Essaid, Lhassane Idoumghar:
Conv-ViT fusion for improved handwritten Arabic character classification. Signal Image Video Process. 18(S1): S355-S372 (2024) - [c12]Muhammad Sulaman, Mahmoud Golabi, Mokhtar Essaid, Mathieu Brévilliers, Julien Lepagnot, Lhassane Idoumghar:
Multi-surrogate assisted differential evolution for edge-based facility location problem. CoDIT 2024: 2301-2306 - [c11]Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar:
Robust Neural Architecture Search Using Differential Evolution for Medical Images. EvoApplications@EvoStar 2024: 163-179 - [c10]Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar:
Evolutionary Neural Architecture Search for 2D and 3D Medical Image Classification. ICCS (2) 2024: 131-146 - 2023
- [c9]Mahmoud Golabi, Mokhtar Essaid, Muhammad Sulaman, Lhassane Idoumghar:
Extreme Learning Machine-based Genetic Algorithm for the facility location problem with distributed demands on network edges. CEC 2023: 1-8 - [c8]Muhammad Junaid Ali
Designing Convolutional Neural Networks using Surrogate assisted Genetic Algorithm for Medical Image Classification. GECCO Companion 2023: 263-266 - [c7]Mokhtar Essaid, Abdennour Azerine
Solving Highly Constrained 3D Heterogeneous Truck Loading Problems: A Contribution to the 2022 EURO/ROADEF Challenge. ICTAI 2023: 377-384 - [c6]Muhammad Sulaman, Mahmoud Golabi, Mokhtar Essaid, Mathieu Brévilliers, Julien Lepagnot, Lhassane Idoumghar:
Random Forest Assisted Differential Evolution for Multi-server Congested p-median Problem. ICTAI 2023: 404-409 - 2022
- [c5]Muhammad Junaid Ali, Laurent Moalic, Mokhtar Essaid, Lhassane Idoumghar:
Designing Attention Based Convolutional Neural Network (CNN) Architectures for Medical Image Classification Using Genetic Algorithm Based on Variable Length-Encoding Scheme. EA 2022: 173-186 - 2021
- [j2]Claudia-Violeta Pop
Novel Differential Evolutionary Optimization Approach for an Integrated Motor-Magnetic Gear Used for Propulsion Systems. IEEE Access 9: 142114-142128 (2021)
2010 – 2019
- 2019
- [b1]Mokhtar Essaid:
Design of hybrid metaheuristics for real-world continuous optimization problems. (Conception des métaheuristiques hybrides pour les problèmes d'optimisation continus et réels). University of Upper Alsace, Mulhouse, France, 2019 - [j1]Mokhtar Essaid, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers:
GPU parallelization strategies for metaheuristics: a survey. Int. J. Parallel Emergent Distributed Syst. 34(5): 497-522 (2019) - [c4]Mokhtar Essaid, Mathieu Brévilliers, Julien Lepagnot, Lhassane Idoumghar, Daniel Fodorean:
Hybrid parameter adaptation strategy for differential evolution to solve real-world problems. CEC 2019: 3030-3036 - [c3]Mokhtar Essaid, Mathieu Brévilliers, Julien Lepagnot, Lhassane Idoumghar, Daniel Fodorean:
An Eigenvector-Enhanced Parallel Adaptive Differential Evolution for Electric Motor Design. ICTAI 2019: 713-720 - 2018
- [c2]Mokhtar Essaid, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers, Daniel Fodorean:
A Hybrid Differential Evolution Algorithm for Real World Problems. CEC 2018: 1-7 - [c1]Mokhtar Essaid, Lhassane Idoumghar, Julien Lepagnot, Mathieu Brévilliers, Daniel Fodorean:
A Hybrid Optimization Algorithm for Electric Motor Design. ICCS (2) 2018: 501-517
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