Abdennour Azerine

Orcid: 0000-0003-2460-3140

According to our database1, Abdennour Azerine authored at least 12 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Enhancing IoT intrusion detection with genetic algorithm-optimized convolutional neural networks.
J. Supercomput., July, 2025

Advanced models and a hybrid method for electric vehicle charging scheduling with diverse charger characteristics.
RAIRO Oper. Res., 2025

Learning-Driven Optimization with Integrated Multi-Model Approaches for Efficient Electric Vehicle Charging Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2025

A Multi-station Electric Vehicle Charging Scheduling Problem with Non-identical Chargers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2025

Bi-Level Optimization of Electric Vehicle Charging Scheduling Using Hybrid Genetic Algorithm and Reinforcement Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024
On the complexity of proportionate open shop and job shop problems.
Optim. Lett., January, 2024

Conv-ViT fusion for improved handwritten Arabic character classification.
Signal Image Video Process., 2024

Enhancing Electric Vehicle Charging Schedules: A Surrogate-Assisted Approach.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Energy Maximization for Electric Vehicle Charging Scheduling: Meta-heuristic Approaches.
Proceedings of the 10th International Conference on Control, 2024

Improved Methods for Solving the Electric Vehicle Charging Scheduling Problem to Maximize the Delive.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Solving Highly Constrained 3D Heterogeneous Truck Loading Problems: A Contribution to the 2022 EURO/ROADEF Challenge.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2022
A two-machine no-wait flow shop problem with two competing agents.
J. Comb. Optim., 2022


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