• A. Aboud, R. Fdhila and A. M. Alimi, "MOPSO for dynamic feature selection problem based big data fusion," 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, 2016, pp. 003918-003923, doi: 10.1109/SMC.2016.7844846.
  • Aboud A., Fdhila R., Alimi A.M. (2017) Dynamic Multi Objective Particle Swarm Optimization Based on a New Environment Change Detection Strategy. In: Liu D., Xie S., Li Y., Zhao D., El-Alfy ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science, vol 10637. Springer, Cham.
  • Aboud, Ahlem; Fdhila, Raja; Hussain, Amir; Alimi, Adel (2020): A novel Dynamic Pareto bi-level Multi-Objective Particle Swarm Optimization (DPb-MOPSO) algorithm. TechRxiv. Preprint.

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Adel Alimi

Professor - Sfax, Tunisia

Adel Alimi

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