Bilel Derbel
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- University of Lille, Inria research centre Lille - Nord Europeas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-4156-8490
- OpenAlex ID
- A5052724735, A5132658254, A5137227649as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Affiliated with 8
National Center for Scientific Research,
École Centrale de Lille,
University of Lille,
Institut National de Recherche en Informatique et en Automatique,
Centre de Recherche en Informatique,
Centre de Recherche en Informatique, Signal et Automatique de Lille,
Computer Science Department,
Inria research centre Lille - Nord Europe
Author of 8
A fine-grained message passing MOEA/D,
A Hybrid ILS-VND Based Hyper-heuristic for Permutation Flowshop Scheduling Problem,
Algorithm selection of anytime algorithms,
Experiments on Greedy and Local Search Heuristics for <i>d</i> dimensional Hypervolume Subset Selection,
Landscape-Aware Performance Prediction for Evolutionary Multiobjective Optimization,
Learning-Rate Annealing Methods for Deep Neural Networks,
Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness,
Surrogate assisted evolutionary algorithm for medium scale multi-objective optimisation problems
← Authored by 8
A fine-grained message passing MOEA/D,
A Hybrid ILS-VND Based Hyper-heuristic for Permutation Flowshop Scheduling Problem,
Algorithm selection of anytime algorithms,
Experiments on Greedy and Local Search Heuristics for <i>d</i> dimensional Hypervolume Subset Selection,
Landscape-Aware Performance Prediction for Evolutionary Multiobjective Optimization,
Learning-Rate Annealing Methods for Deep Neural Networks,
Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness,
Surrogate assisted evolutionary algorithm for medium scale multi-objective optimisation problems
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Summary
Bilel Derbel is a human[1].