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El-Ghazali Talbi

El-Ghazali Talbi

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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
65
Citations
19708
World Ranking
2433
National Ranking
29

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

El-Ghazali Talbi is affiliated with the University of Lille in France and works primarily in the fields of Computer Science, Engineering, and Decision Sciences. Their research spans several subfields including Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Management Science and Operations Research, and Statistics, Probability and Uncertainty. This diverse expertise informs their contributions to complex optimization and computational methods.

Their published work covers various main topics, notably Advanced Multi-Objective Optimization Algorithms, Metaheuristic Optimization Algorithms Research, Vehicle Routing Optimization Methods, Optimal Experimental Design Methods, Probabilistic and Robust Engineering Design, Gaussian Processes and Bayesian Inference, and Evolutionary Algorithms and Applications.

Recent papers authored or co-authored by Talbi include:

  • "Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art," 2021, European Journal of Operational Research
  • "Bayesian optimization using deep Gaussian processes with applications to aerospace system design," 2020, Optimization and Engineering
  • "Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes," 2020, arXiv (Cornell University)
  • "Automated Design of Deep Neural Networks," 2021, ACM Computing Surveys
  • "Hyper-heuristics: A survey and taxonomy," 2023, Computers & Industrial Engineering

Frequent co-authors in Talbi's research include Loïc Brevault, Mathieu Balesdent, Ali Hebbal, Nouredine Melab, and Oumayma Bahri. This network reflects collaboration primarily within optimization and engineering contexts.

Talbi has published in leading venues such as Optimization and Engineering, European Journal of Operational Research, Computers & Industrial Engineering, Multimedia Tools and Applications, and arXiv (Cornell University).

In addition to journal articles, Talbi is credited with a book publication: Metaheuristics for Combinatorial Optimization, published in 2021 by Springer Nature.

Best Publications

  • Metaheuristics: From Design to Implementation

    El-Ghazali Talbi

  • A Taxonomy of Hybrid Metaheuristics

    E.-G. Talbi

  • Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed

    Raphaël Bolze;Franck Cappello;Eddy Caron;Michel Daydé

  • Multi-objective vehicle routing problems

    Nicolas Jozefowiez;Nicolas Jozefowiez;Frédéric Semet;El-Ghazali Talbi

  • ParadisEO: A Framework for the Reusable Design of Parallel and Distributed Metaheuristics

    S. Cahon;N. Melab;E.-G. Talbi

  • A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems

    M. Mezmaz;N. Melab;Y. Kessaci;Y. C. Lee

  • Machine Learning at the service of Meta-heuristics for solving Combinatorial Optimization Problems: A state-of-the-art

    Maryam Karimi-Mamaghan;Mehrdad Mohammadi;Patrick Meyer;Amir Mohammad Karimi-Mamaghan

  • Hybridizing exact methods and metaheuristics: A taxonomy

    Laetitia Jourdan;Matthieu Basseur;El-Ghazali Talbi

  • Parallel ant colonies for the quadratic assignment problem

    E.-G. Talbi;O. Roux;C. Fonlupt;D. Robillard

  • Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms

    E. Alba;J. Garcia-Nieto;L. Jourdan;E.-G. Talbi

  • A multiobjective genetic algorithm for radio network optimization

    H. Meunier;E.-G. Talbi;P. Reininger

  • The "Ariadne's clew" algorithm: global planning with local methods

    P. Bessiere;J.-M. Ahuactzin;E.-G. Talbi;E. Mazer

  • Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability

    Andrei Tchernykh;Uwe Schwiegelsohn;El-ghazali Talbi;Mikhail Babenko

  • An evolutionary algorithm for the vehicle routing problem with route balancing

    Nicolas Jozefowiez;Nicolas Jozefowiez;Frédéric Semet;El-Ghazali Talbi

  • A comparative study between dynamic adapted PSO and VNS for the vehicle routing problem with dynamic requests

    Mostepha R. Khouadjia;Briseida Sarasola;Enrique Alba;Laetitia Jourdan

  • Towards hybrid evolutionary algorithms

    Ph. Preux;E.-G. Talbi

  • A Taxonomy of Metaheuristics for Bi-level Optimization

    El-Ghazali Talbi

  • A parallel genetic algorithm for the graph partitioning problem

    E.-G. Talbi;P. Bessière

  • Common Concepts for Metaheuristics

    El‐Ghazali Talbi

  • Metaheuristics for Bi-level Optimization

    El-Ghazali Talbi

  • The “Ariadne's clew” algorithm: global planning with local methods

    Pierre Bessière;Juan-Manuel Ahuactzin;El-Ghazali Talbi;Emmanuel Mazer

  • The vehicle routing problem: Latest advances and new challenges

    Nicolas Jozefowiez;Frederic Semet;El-ghazali Talbi

Frequent Co-Authors

Pascal Bouvry
Pascal Bouvry University of Luxembourg
Enrique Alba
Enrique Alba University of Malaga
Pierre Bessière
Pierre Bessière Collège de France
Frédéric Semet
Frédéric Semet University of Lille
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Dragos Horvath
Dragos Horvath University of Strasbourg
José Rui Figueira
José Rui Figueira Instituto Superior Técnico
Frank Nielsen
Frank Nielsen Sony Computer Science Laboratories
Reinhard Schneider
Reinhard Schneider University of Luxembourg

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