Abdennour Azerine

ORCID: 0000-0003-2460-3140
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About
Contact & Profiles
Research Areas
  • Electric and Hybrid Vehicle Technologies
  • Advanced Battery Technologies Research
  • Electric Vehicles and Infrastructure
  • Advanced Manufacturing and Logistics Optimization
  • Scheduling and Optimization Algorithms
  • Optimization and Packing Problems
  • Optimization and Search Problems
  • Hand Gesture Recognition Systems
  • Vehicle License Plate Recognition
  • Assembly Line Balancing Optimization
  • Handwritten Text Recognition Techniques

Université de Haute-Alsace
2023-2024

Centre de Recherche sur l'Information Scientifique et Technique
2023

University of Sciences and Technology Houari Boumediene
2021-2023

This paper investigates the Electric Vehicle Charging Scheduling Problem (EVCSP) to maximize satisfied charging demands while optimizing resource utilization. Specifically, it addresses scenarios involving non-identical chargers with constant and variable output power, as well introducing a novel configuration featuring discrete levels. Enhanced mathematical models are formulated for power scenarios, extending existing formulations in literature, new model is introduced capture...

10.1051/ro/2025056 article EN RAIRO - Operations Research 2025-04-27

10.1109/codit62066.2024.10708620 article EN 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) 2024-07-01

10.1145/3638530.3654303 article EN Proceedings of the Genetic and Evolutionary Computation Conference Companion 2024-07-14

This paper presents a novel bi-level optimization approach for addressing the 3D truck loading problem, incorporating considerations of axle weights and items with diverse delivery time windows, as defined in 2022 EURO/ROADEF Challenge. The main goal is to optimize efficient stacking allocation into appropriate trucks, minimize both inventory costs transportation expenses, which encompass additional associated employing extra trucks. first level focuses on optimizing assignment considering...

10.1109/ictai59109.2023.00061 article EN 2023-11-06
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