Dr. Mathieu Brévilliers

PhD in computer science

mathieu [dot] brevilliers [at] uha [dot] fr

Find me on ResearchGate, DBLP, ORCID, Google Scholar and LinkedIn.

Research interests

Optimization | Metaheuristics | Parallel computing | Machine learning | Computational geometry

Real-world applications

Institutional research projects

Co-supervise(d) research students

• Amit Kumar, Engineer (2019-2020), ROS & path planning for drones (OPMoPS project, ANR funding)
• Mahmoud Golabi, Postdoc (2019-2021), Machine Learning & Metaheuristics with Applications (OPMoPS project, ANR funding)

Reviewer

• Journal of Parallel and Distributed Computing.

Organizing committee member

• Since 2021, in charge of the scientific monitoring about the benchmark tesbed on the Optimal Camera Placement Problem (OCP) and the Unicost Set Covering Problem (USCP),
• 22nd congress of the French society of operations research (ROADEF 2021),
• Special session on Techniques d'apprentissage au profit des métaheuristiques at ROADEF 2021,
• Special session on the Set Covering Problem and its applications at EURO 2021,
• GECCO 2021 Competition on the Optimal Camera Placement Problem (OCP) and the Unicost Set Covering Problem (USCP),
• GECCO 2020 Competition on the Optimal Camera Placement Problem (OCP) and the Unicost Set Covering Problem (USCP),
• 14th International Conference on Artificial Evolution (EA 2019),
• Special session on Hybrid and parallel metaheuristics for optimization and learning at META'18,
• Special session on Massively Parallel and Distributed Evolutionary Computation at IEEE CEC 2017,
• 2nd International Conference on Swarm Intelligence Based Optimization (ICSIBO 2016).

Program committee member

• 2020 Genetic and Evolutionary Computation Conference (GECCO 2020),
• 14th International Conference on Artificial Evolution (EA 2019),
• 3rd International Conference on Computer Science and Application Engineering (CSAE 2019),
• 1st International Workshop on Metaheuristics in Bioinformatics and Biomedicine (MetaBio²) at IEEE BIBM 2018,
• International Conference on System Modeling and Optimization (ICSMO) since 2018,
• 2nd International Conference on Swarm Intelligence Based Optimization (ICSIBO 2016).

Project evaluation

• Expert for the 2020 PRELUDIUM BIS funding scheme of the National Science Center of Poland

Awards

• Recipient of the PhD supervising and research bonus (PEDR) from 2020 to 2024 : rank A awarded by the French National Council of Universities (CNU), for all my activities from 2016 to 2019,
• First prize of the 2019 Computational Geometry: Solving Hard Optimization Problems (CG:SHOP) Challenge,
• Best presentation award for a talk about Parallel Preprocessing for the Optimal Camera Placement Problem at the 6th International Conference on System Modeling and Optimization (ICSMO 2018), 7-11 February 2018, Valenciennes, France,
• Third prize of the 2015 Black Box Optimization Competition (conference paper [c8]),
• Third prize for best student paper: Triangulations faiblement contraintes [pdf] at 20èmes Journées de l'Association Française d'Informatique Graphique (AFIG), 26-28 November 2007, Université Paris Est - Marne-La-Vallée, France.

List of publications

[j...] = journal papers
[c...] = international conference papers
[n...] = national conference papers
[t...] = thesis

[c26]

Ghambari S., Golabi M., Lepagnot J., Brévilliers M., Jourdan L. and Idoumghar L. (2020),
An Enhanced NSGA-II for Multiobjective UAV Path Planning in Urban Environments,
2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (IEEE ICTAI 2020), virtual conference.
ERA 2010 rank = B, CORE 2020 rank = B

[c25]

Rakhshani H., Ismail Fawaz H., Idoumghar L., Forestier G., Lepagnot J., Weber J., Brévilliers M. and Muller P.-A. (2020),
Neural Architecture Search for Time Series Classification,
2020 IEEE International Joint Conference on Neural Networks (IEEE IJCNN 2020), Glasgow, United Kingdom.
CORE 2020 rank = A

[c24]

Rakhshani H., Latard B., Brévilliers M., Weber J., Lepagnot J., Forestier G., Hassenforder M. and Idoumghar L. (2020),
Automated Machine Learning for Information Retrieval in Scientific Articles,
2020 IEEE Congress on Evolutionary Computation (IEEE CEC 2020), Glasgow, United Kingdom.
Acceptance rate = 61.7% (426/690), ERA 2010 rank = A, CORE 2020 rank = B
DOI

[c23]

Golabi M., Ghambari S., Lepagnot J., Jourdan L., Brévilliers M. and Idoumghar L. (2020),
Bypassing Or Flying Above The Obstacles? A Novel Multi-Objective UAV Path Planning Problem,
2020 IEEE Congress on Evolutionary Computation (IEEE CEC 2020), Glasgow, United Kingdom.
Acceptance rate = 61.7% (426/690), ERA 2010 rank = A, CORE 2020 rank = B
DOI | arXiv

[c22]

Kritter J., Brévilliers M., Lepagnot J. and Idoumghar L. (2020),
On the Use of Human-assisted Optimisation for the Optimal Camera Placement Problem and the Surveillance of Urban Events,
7th International Conference on Control, Decision and Information Technologies (IEEE CoDIT’20), Prague, Czech Republic.

[c21]

Pinard M., Moalic L., Brévilliers M., Lepagnot J. and Idoumghar L. (2020),
A Memetic Approach for the Unicost Set Covering Problem,
Learning and Intelligent Optimization (LION 2020), Athens, Greece,
Lecture Notes in Computer Science, Vol.12096, pp.233-248, Springer.
Acceptance rate = 50.6% (38/75), Qualis 2012 rank = B4
DOI

[c20]

Essaid M., Brévilliers M., Lepagnot J., Idoumghar L. and Fodorean D. (2019),
An Eigenvector-Enhanced Parallel Adaptive Differential Evolution for Electric Motor Design,
2019 IEEE 31st International Conference on Tools with Artificial Intelligence (IEEE ICTAI 2019), pp. 713-720, Portland, USA.
Acceptance rate = 26% (161/617), ERA 2010 rank = B, CORE 2018 rank = B
DOI

[c19]

Rakhshani H., Idoumghar L., Lepagnot J. and Brévilliers M. (2019),
From Feature Selection to Continuous Optimization,
14th International Conference on Artificial Evolution (EA-2019), Mulhouse, France,
Lecture Notes in Computer Science, Vol.12052, pp.1-12, Springer.
Acceptance rate = 84.2% (16/19)
DOI

[c18]

Essaid M., Brévilliers M., Lepagnot J., Idoumghar L. and Fodorean D. (2019),
Hybrid Parameter Adaptation Strategy for Differential Evolution to Solve Real-world Problems,
2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019), pp. 3030-3036, Wellington, New Zealand.
Acceptance rate = 56% (443/791), ERA 2010 rank = A, CORE 2018 rank = B
DOI

[c17]

Kritter J., Brévilliers M., Lepagnot J. and Idoumghar L. (2019),
On the Real-World Applicability of State-of-the-Art Algorithms for the Optimal Camera Placement Problem,
6th International Conference on Control, Decision and Information Technologies (IEEE CoDIT’19), Paris, France.
Acceptance rate = 54.6% (323/592)
DOI

[n4]

Brévilliers M., Lepagnot J., Idoumghar L., Rebai M. and Kritter J. (2019),
Évolution différentielle hybride pour le problème de placement optimal de caméras,
20ème congrès annuel de la Société française de recherche opérationnelle et d'aide à la décision (ROADEF), Le Havre, France.
PDF

[j6]

Rakhshani H., Idoumghar L., Lepagnot J. and Brévilliers M. (2019),
Speed Up Differential Evolution for Computationally Expensive Protein Structure Prediction Problems,
Swarm and Evolutionary Computation, Vol.50, Elsevier.
JCR 2017 impact factor = 3.818
DOI

[c16]

Rakhshani H., Idoumghar L., Lepagnot J. and Brévilliers M. (2019),
MAC: Many-Objective Automatic Algorithm Configuration,
10th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2019), East Lansing, USA,
Lecture Notes in Computer Science, Vol.11411, pp.241-253, Springer.
Acceptance rate = 77.6% (59/76), Qualis 2012 rank = A2
DOI

[j5]

Essaid M., Idoumghar L., Lepagnot J. and Brévilliers M. (2019),
GPU Parallelization Strategies for Metaheuristics: a Survey,
International Journal of Parallel, Emergent and Distributed Systems, Vol. 34 No. 5, pp.497-552, Taylor & Francis.
CiteScore 2017 = 0.63, ERA 2010 rank = B
DOI

[j4]

Kritter J., Brévilliers M., Lepagnot J. and Idoumghar L. (2019),
On the Optimal Placement of Cameras for Surveillance and the Underlying Set Cover Problem,
Applied Soft Computing, Vol.74, pp.133-153, Elsevier.
JCR 2017 impact factor = 3.907, ERA 2010 rank = C
DOI

[c15]

Rakhshani H., Idoumghar L., Lepagnot J. and Brévilliers M. and Keedwell E. (2018),
Automatic hyperparameter selection in Autodock,
2018 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2018), Madrid, Spain.
Acceptance rate = 19.6% (105/534), Qualis 2012 rank = B4
DOI

[j3]

Brévilliers M., Lepagnot J., Idoumghar L., Rebai M. and Kritter J. (2018),
Hybrid Differential Evolution Algorithms for the Optimal Camera Placement Problem,
Journal of Systems and Information Technology, Special issue on Optimisation Solutions in Systems, Vol.20 No.4, pp.446-467, Emerald.
CiteScore 2017 = 1.19, ERA 2010 rank = C
DOI | post-print | link to problem instance files

[c14]

Rakhshani H., Idoumghar L., Lepagnot J. and Brévilliers M. (2018),
Application of the Surrogate Models for Protein Structure Prediction,
7th International Conference on Metaheuristics and Nature Inspired Computing (META'18), pp.175-177, Marrakech, Morocco.
Acceptance rate = N.A., Qualis 2012 rank = B5
URL | PDF

[c13]

Essaid M., Idoumghar L., Lepagnot J. and Brévilliers M. (2018),
A Parallel Adaptive Differential Evolution for Electric Motor Design Optimization PADE,
7th International Conference on Metaheuristics and Nature Inspired Computing (META'18), pp.204-206, Marrakech, Morocco.
Acceptance rate = N.A., Qualis 2012 rank = B5
URL | PDF

[c12]

Rakhshani H., Idoumghar L., Lepagnot J., Brévilliers M. and Keedwell E. (2018),
A Novel Population Initialization Method Based on Support Vector Machine,
2018 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2018), Miyazaki, Japan.
Acceptance rate = 57.4% (741/1291), ERA 2010 rank = B
DOI

[c11]

Rakhshani H., Lepagnot J., Idoumghar L., Brévilliers M. and Rahati A. (2018),
Accelerating Protein Structure Prediction Using Active Learning and Surrogate-based Optimization,
2018 IEEE Congress on Evolutionary Computation (IEEE CEC 2018), pp.933-940, Rio de Janeiro, Brazil.
Acceptance rate = 64.6% (347/537), ERA 2010 rank = A
DOI

[c10]

Essaid M., Idoumghar L., Lepagnot J., Brévilliers M. and Fodorean D. (2018),
A Hybrid Differential Evolution Algorithm for Real World Problems,
2018 IEEE Congress on Evolutionary Computation (IEEE CEC 2018), pp.2341-2347, Rio de Janeiro, Brazil.
Acceptance rate = 64.6% (347/537), ERA 2010 rank = A
DOI

[c9]

Essaid M., Idoumghar L., Lepagnot J., Brévilliers M. and Fodorean D. (2018),
A Hybrid Optimization Algorithm for Electric Motor Design,
18th International Conference on Computational Science (ICCS 2018), Wuxi, China,
Lecture Notes in Computer Science, Vol.10861 pp.501-517, Springer.
Acceptance rate = 36.5% (148/405), ERA 2010 rank = A
DOI

[j2]

Brévilliers M., Lepagnot J., Kritter J. and Idoumghar L. (2018),
Parallel Preprocessing for the Optimal Camera Placement Problem,
International Journal of Modeling and Optimization, Vol.8 No.1, pp.33-40, ISSN: 2010-3697.
DOI

[c8]

Lepagnot J., Idoumghar L., Brévilliers M. and Idrissi-Aouad M. (2017),
A New High-Level Relay Hybrid Metaheuristic for Black-Box Optimization Problems,
13th International Conference on Artificial Evolution (EA-2017), Paris, France,
Lecture Notes in Computer Science, Vol.10764 pp.115-128, Springer.
Acceptance rate = 48.5% (16/33)
DOI

[j1]

Fodorean D., Idoumghar L., Brévilliers M., Minciunescu P. and Irimia C. (2017),
Hybrid Differential Evolution Algorithm employed for the Optimum Design of a High-Speed PMSM used for EV Propulsion,
IEEE Transactions on Industrial Electronics, Vol.64 No.12, pp.9824-9833.
JCR 2017 impact factor = 7.168
DOI

[c7]

Brévilliers M., Abdelkafi O., Lepagnot J. and Idoumghar L. (2016),
Fast Hybrid BSA-DE-SA Algorithm on GPU,
International Conference on Swarm Intelligence Based Optimization (ICSIBO), Mulhouse, France,
Lecture Notes in Computer Science, Vol.10103 pp.57-64, Springer.
Acceptance rate = N.A.
DOI

[c6]

Abdelkafi O., Idoumghar L., Lepagnot J. and Brévilliers M. (2016),
Data exchange topologies for the DISCO-HITS algorithm to solve the QAP,
International Conference on Swarm Intelligence Based Optimization (ICSIBO), Mulhouse, France,
Lecture Notes in Computer Science, Vol.10103 pp.57-64, Springer.
Acceptance rate = N.A.
DOI

[c5]

Brévilliers M., Abdelkafi O., Lepagnot J. and Idoumghar L. (2015),
Idol-Guided Backtracking Search Optimization Algorithm,
12th International Conference on Artificial Evolution (EA-2015), Lyon, France, ISBN: 978-2-9539267-5-0, pp.277-284.
Acceptance rate =76.5% (26/34)
URL | PDF

[c4]

Abdelkafi O., Idoumghar L., Lepagnot J. and Brévilliers M. (2015),
A GPU-based parallel neighborhood evaluation for ITSSD,
12th International Conference on Artificial Evolution (EA-2015), Lyon, France, ISBN: 978-2-9539267-5-0, pp.327-334.
Acceptance rate =76.5% (26/34)
URL | PDF

[n3]

Brévilliers M., Abdelkafi O. and Idoumghar L. (2015),
Sequential and Parallel BSA Algorithm,
16ème congrès annuel de la Société française de recherche opérationnelle et d'aide à la décision (ROADEF), Marseille, France.
PDF

[n2]

Abdelkafi O., Idoumghar L., Lepagnot J. and Brévilliers M. (2015),
Hybrid Iterative Tabu Search,
16ème congrès annuel de la Société française de recherche opérationnelle et d'aide à la décision (ROADEF), Marseille, France.
PDF

[t1]

Brévilliers M. (2008),
Construction de la triangulation de Delaunay de segments par un algorithme de flip,
PhD thesis, Université de Haute-Alsace, Mulhouse, France.
PDF

[c3]

Brévilliers M., Chevallier N. and Schmitt D. (2008),
Flip algorithm for segment triangulations,
33rd International Symposium on Mathematical Foundations of Computer Science (MFCS), Torùn, Poland,
Lecture Notes in Computer Science, Vol.5162 pp.180-192, Springer.
Acceptance rate = 37.8% (45/119), ERA 2010 rank = A
DOI

[c2]

Brévilliers M., Chevallier N. and Schmitt D. (2008),
Constructing the segment Delaunay triangulation by flip,
24th European Workshop on Computational Geometry (EWCG), pp.63-66, Nancy, France.
Acceptance rate = 87.5% (63/72), ERA 2010 rank = C
URL | PDF

[c1]

Brévilliers M., Chevallier N. and Schmitt D. (2007),
Triangulations of line segment sets in the plane,
27th Symposium on Foundations of Software Technology and Theoretical Computer Science (FSTTCS), New Delhi, India,
Lecture Notes in Computer Science, Vol.4855 pp.388-399, Springer.
Acceptance rate = 29.6% (40/135), CORE 2008 rank = A
DOI

[n1]

Brévilliers M., Chevallier N. and Schmitt D. (2007),
Triangulations faiblement contraintes,
20èmes Journées de l'Association Française d'Informatique Graphique (AFIG), Université Paris Est - Marne-La-Vallée, France.
Third prize for best student paper.
PDF