2023 - Research.com Computer Science in France Leader Award
His primary scientific interests are in Mathematical optimization, Metaheuristic, Evolutionary algorithm, Multi-objective optimization and Optimization problem. He has included themes like Parallel algorithm, Vehicle routing problem and Flow shop scheduling in his Mathematical optimization study. His Parallel algorithm study integrates concerns from other disciplines, such as Theoretical computer science and Taxonomy.
His research in Metaheuristic intersects with topics in Real-time computing, Distributed computing and Combinatorial optimization. El-Ghazali Talbi interconnects Routing and Paradiseo in the investigation of issues within Evolutionary algorithm. His Optimization problem study incorporates themes from Tabu search, Local search, Semidefinite programming, Branch and cut and Interior point method.
El-Ghazali Talbi mainly focuses on Mathematical optimization, Metaheuristic, Multi-objective optimization, Evolutionary algorithm and Optimization problem. His biological study spans a wide range of topics, including Algorithm, Vehicle routing problem and Set. His Metaheuristic research includes themes of Local search, Combinatorial optimization and Theoretical computer science.
His research on Evolutionary algorithm also deals with topics like
The scientist’s investigation covers issues in Mathematical optimization, Optimization problem, Multi-objective optimization, Metaheuristic and Gaussian process. His work deals with themes such as Variable and Stability, which intersect with Mathematical optimization. His research in Optimization problem intersects with topics in Convergence and Representation.
His studies deal with areas such as Evolutionary algorithm, Pareto principle, Dynamic programming and Vehicle routing problem as well as Multi-objective optimization. His Evolutionary algorithm study incorporates themes from Algorithm, Particle swarm optimization, Fuzzy number, Fuzzy logic and Robustness. His Metaheuristic study is concerned with the larger field of Artificial intelligence.
His primary areas of study are Mathematical optimization, Multi-objective optimization, Optimization problem, Gaussian process and Metaheuristic. Many of his research projects under Mathematical optimization are closely connected to Function with Function, tying the diverse disciplines of science together. El-Ghazali Talbi has researched Multi-objective optimization in several fields, including Time complexity, Pareto principle, Dynamic programming, Cluster analysis and Evolutionary algorithm.
His Evolutionary algorithm research incorporates elements of Fuzzy number, Particle swarm optimization and Theoretical computer science. As part of the same scientific family, he usually focuses on Optimization problem, concentrating on Convergence and intersecting with Search algorithm, Cardinality, Solution set and Set. His Metaheuristic research is multidisciplinary, incorporating perspectives in Programming language, Thread, Quadratic assignment problem, Scalability and Chapel.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Metaheuristics: From Design to Implementation
A Taxonomy of Hybrid Metaheuristics
Journal of Heuristics (2002)
Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed
Raphaël Bolze;Franck Cappello;Eddy Caron;Michel Daydé.
ieee international conference on high performance computing data and analytics (2006)
Multi-objective vehicle routing problems
Nicolas Jozefowiez;Nicolas Jozefowiez;Frédéric Semet;El-Ghazali Talbi.
European Journal of Operational Research (2008)
ParadisEO: A Framework for the Reusable Design of Parallel and Distributed Metaheuristics
S. Cahon;N. Melab;E.-G. Talbi.
Journal of Heuristics (2004)
A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems
M. Mezmaz;N. Melab;Y. Kessaci;Y. C. Lee.
Journal of Parallel and Distributed Computing (2011)
Parallel ant colonies for the quadratic assignment problem
E.-G. Talbi;O. Roux;C. Fonlupt;D. Robillard.
Future Generation Computer Systems (2001)
Hybridizing exact methods and metaheuristics: A taxonomy
Laetitia Jourdan;Matthieu Basseur;El-Ghazali Talbi.
European Journal of Operational Research (2009)
Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms
E. Alba;J. Garcia-Nieto;L. Jourdan;E.-G. Talbi.
congress on evolutionary computation (2007)
A multiobjective genetic algorithm for radio network optimization
H. Meunier;E.-G. Talbi;P. Reininger.
congress on evolutionary computation (2000)
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