Bilel Derbel, Associate Professor (MCF), Habilitated to supervise research (HDR)

BONUS (ex DOLPHIN) Research Group - Deputy team leader

CRIStAL CNRS UMR 9189 - Inria Lille Nord Europe - France

MODŌ International Associate Laboratory (Japan/France)

Computer Science Department , Faculty of Science and Technology, University of Lille,

bilel dot derbel at univ-lille dot fr

Bilel Derbel is an associate professor (HDR - Research Habilitation) at the Computer Science Department of the University of Lille. He is deputy team leader of BONUS (ex Dolphin), a joint research group at the CRIStAL Laboratory and the Inria Lille Nord Europe research center. He is a co-founder member of the MODŌ International Associated Laboratory (LAI) between the University of Lille and Shinshu University, Nagano, Japan. He did his Ph.D at the University of Bordeaux and the LaBRI Laboratory, within the Combinatorics and Algorithmics, and the Distributed Algorithms research groups.


His current research topics are on the design and analysis of algorithms for solving complex and large scale optimization problems with a particular focus on:

  • High Level Optimization Techniques : Randomized search heuristics (e.g., evolutionary algorithms, local search) , fitness landscape analysis, cross-domain and autonomous optimization (e.g., tuning, adaptation, control), Combinatorial optimization (e.g., 0/1 problems, permutation problems), Machine learning and optimization (e.g., auto-ML, multi-armed bandits, tree search, etc)

  • Parallel and Distributed Computing: Locality and graph based algorithms, Cluster and grid computing, Parallel Branch and Bound

  • Multiobjective Optimization: Decomposition based algorithms (e.g., MOEA/D), Meta-model based expensive optimization (e.g. Surrogate-based algorithms), Parallel multi-objective search algorithms

News

  • (27-05-20) Three new papers accepted at PPSN'20 ! Congratulations to all our collaborators and students !

  • (20-03-20) Four new papers accepted at GECCO'20 ! Congratulations to all our collaborators and students !

  • (08-01-20) Two new papers accepted at EvoCOP'2020 ! Congratulation to our PhD student Hugo and all collaborators for our paper "Dynamic Compartmental Models for Large Multi-objective Landscapes and Performance Estimation" being nominated for the best paper award !

  • (28-07-19) Happy to welcome our colleague Darrell Whitley (Colorado State University, USA) for one month visit in our research group.

  • (05-06-19) A new paper accepted at FOGA'19

  • (05-06-19) Congratulation to Hugo Monzon ! Our paper "Dynamic Compartmental Models for Algorithm Analysis and Population Size Estimation" was nominated for the student workshop best paper award at GECCO'19

  • (21-03-19) A new paper accepted at GECCO'19

  • (18-03-19) Receiving delegates from RIKEN research institution, Japan, in our CRIStAL research center, HPC meets Optimization !

  • (13-03-19) Yuri Marca, our LIA-MODŌ PhD student, has been awarded the best student paper award at EMO'19

  • (13-11-18) Two papers accepted at EMO'19

  • (29-10-18) One week-visit at the University of Coimbra, Portugal, for the kick-off meeting of our MOCO-search project.

  • (07-09-18) Attending PPSN'18 at Coimbra, Portugal

  • (20-07-18) Our North-european assicated team proposal with the University of Exeter, UK has been approved by Inria. Great work to come on three-fold decomposition in multi-objective optimization... stay tuned !

  • (15-07-18) Attending GECCO'18 at Kyoto, Japan

  • (12-07-18) Attending the CIMO Workshop we organized in Shinshu University, Nagano, Japan

  • (12-07-18) Inauguration of Univ Lille's satellite office at Shinshu Univ, Nagano, Japan, as a part of the LIA MODŌ

  • (14-05-18) Two papers accepted at PPSN'18

  • (26-03-18) Our colleague Hernan Aguirre, from Shinshu Univ., Japan is visiting us for two weeks, an LIA-MODŌ related visit!

  • (20-03-18) Two full papers and two poster papers accepted at GECCO'18

  • (11-12-17) I defended my research Habilitation (HDR) entitled "Contributions to single and multi-objective optimization: towards distributed and autonomous massive optimization". Jury: Hernan Aguirre (Shinshu Univ., Japan), Pascal Bouvry (Reviewer, Univ. Luxembourg), Nouredine Melab (PR, Univ. Lille), José Lozano (Reviewer, Univ. Basque Country, Spain), Frédéric Saubion (Reviewer, Univ. Angers, France), Pierre Sens (Univ. Paris 6, France), Lionel Senturier (Chair, Univ. Lille, France).

  • (13-11-17) Congratulations to Jialong Shi! Our paper "Using parallel strategies to speed up Pareto local search" wins the best student paper award at SEAL'17 (The 11th International Conference on Simulated Evolution and Learning, LNCS);

  • (29-10-17) Visiting our colleague Qingfu Zhang for one week at CityU, Hong Kong

  • (03-07-17) Signature ceremony of our International Associated Laboratory (MODŌ) with Shinshu University in Matsumoto (Japan)

  • (27-06-17) In Japan for a 3-week visit to our colleagues (Tanaka-Hernan Lab) in Shinshu University, Faculty of Engineering, Nagano.

  • (11-06-17) Our colleague Manuel López-Ibáñez (Univ. Manchester, UK) is visiting our group for one week

  • (18-04-17) Enjoying Amsterdam canal bridges and presenting our work on landscape-aware algorithm configuration at EvoCOP'.

  • (20-03-17) A new paper accepted at GECCO'17

  • (07-03-17) A new paper accepted at CEC'17

  • (23-02-17) Our recently proposed Task Force on Decomposition-based Techniques in Evolutionary Computation (Chair: Ke Li) has been approved by the IEEE Evolutionary Computation Technical Committee.

  • (09-01-17) A new paper accepted at EvoCOP'17

  • (05-01-17) In Portugal for a sunny two-month sabbatical research visit at ITS, Lisboa!

  • (04-12-16) Two papers accepted at EMO'17

Funded Projects

  • CNRS project in support of internationalization (2020) on "Computational Intelligence meets High Performance Computing on the Fugaku Supercomputer". Within a collaboration between CRIStAL and the RIKEN R-CSS, Japan. Coordinator.

  • Bilateral France/Korea project (2020-2021) with Chung-An university on "Adaptive Optimization for Deep Learning Problems in the Application of Computer Vision". Coordinator. Co-coordinator at the Univ. of Chung-An: Byung-Woo Hong.

  • North-european associated team project between Inria Lille Nord Europe (Bonus research group) and Univ. of Exeter (Computer Science department) UK (2018-2020) on "Three-fold decomposition in multi-objective optimization". Coordinator. Co-coordinator at the Univ. of Exeter: Ke Li.

  • Bilateral France/Portugal CNRS PICS project (2018-2021) on "Bridging the gap between exact methods and heuristics for multi-objective search". CNRS International project for scientific cooperation (PICS), Univ. of Coimbra (PT), Univ Lille (FR). Co-coordinators: L. Paquete (PT), A. Liefooghe (FR)

  • MODŌ International Associated Laboratory (LIA) between University of Lille (FR) and Shinshu University (JP) (2017-2021) on "Massive Optimization and Computational Intelligence". Co-directors: H. Aguirre (JP), A. Liefooghe (FR)

  • Bilateral France/Hong-Kong ANR PRCI BigMO project (2017-21). Coordinator. "Big Multiobjective Optimization". Co-funded by ANR (FR) and RGC (HK). HK Coordinator: Qingfu Zhang

  • Project in support of internationalization (2016-18) on "Massive optimization". Bilateral Lille/Shinshu international project for preparing an international associate laboratory, funded by Univ Lille 1. Shinshu Univ (JP), Dolphin (Univ Lille, FR). Coordinator: A. Liefooghe

  • BQR-I (2016). Grant for international research cooperation on "Learning-driven multi-objective optimization". Coordinator: A. Liefooghe

  • Bilateral Mexico/France EMOO project (2016-2020). Co-Coordinator. "Evolutionary many-objective optimization: Application to smart cities and engineering design". Co-funded by ECOS Nord (FR) / ANUIES (MX). MX Coordinator: O. Schuetze, Cinvestav-IPN.

  • Bilateral Hong-Kong/France DEMEO project (2016-2018). Coordinator. "From sequential to parallel decomposition-based multi-objective evolutionary optimization: a systematic investigation". Co-Funded by PHC Procore (FR) / RGC (HK). HK Coordinator: Q. Zhang, CityU.

  • S3-BBO Ayame/Inria associate team (2015-2017). "Threefold scalability in any-objective black-box optimization". Bilateral France/Japan international project, co-funded by JSPS and Inria. Univ. Shinshu (JP), Tao (Inria Saclay, FR), Dolphin (Univ. Lille 1, Inria Lille, FR), External collaborator: Univ. Calais (FR). Coordinators: H. Aguirre & Anne Auger

  • JSPS-MEXT project (2013-2016). "Global research on the framework of evolutionary solution search to accelerate innovation". Bilateral France/Japan international project, funded by JSPS (Japanese government program). Univ. Shinshu (JP), Univ. Tokyo (JP), Tao (Inria Saclay, FR), Univ. Calais (FR), Dolphin (Univ. Lille 1, Inria Lille, FR). Coordinator: K. Tanaka

  • HEMERA large wingspan 4-year project (2010-2014). Co-Leader of Challenge A ("Large scale computing for combinatorial optimization problems"). Inria large scale national initiative. Participants: several research teams involved in the grid5000 experimental grid organized in 8 working groups and 14 scientific challenges. Coordinator: Christian Perez, Inria Lyon

  • BQR Emergent Research (2012-2013). Co-Leader. "Towards massively parallel optimization for hybrid P2P-GPU architectures". Grant from the Univ. Lille 1

  • Bilateral France/Tunisia Inria STIC 2-year project (2010–2012). Co-Coordinator. "Self-optimization in radio network using coloring and covering structures". University of Tunis (Tunisia), Dolphin (Univ. Lille 1, Inria Lille, FR). Coordinators: B. Derbel (FR) A. Draief (TN)

Collective activities

  • Deputy team leader of the BONUS inria team, since 2018

  • Associate Editor, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2016-2020

  • Regular PC member in GECCO, CEC, PPSN, EvoCOP

  • Regular reviewer for IEEE TEC, EJOR, Applied Soft. Comp., to cite a few

  • Member of the recruiting committee for associate professorship in computer science, University Lille 1, since 2010

  • Member of the Grid5000 GIS site-leaders committee (2013-2015)

  • Member of the CLDD committe at Inria Lille center (Commission Locale Développement Durable), 2012-2014

  • Coordinator of the Raweb team research report (2009)

Organization activities

Students

PhD

  • Lorenzo Canonne (Inria, 2020-2023)

  • Raphaël Cosson (ANR BigMo, Univ. Lille, 2019-2022)

  • Nicolas Berveglieri (MENRT, 2018-2021)

  • Geoffrey Pruvost (ANR BigMO, 2018-2021)

  • Brahim Aboutaeib (Univ. Littorale Côte d'Opale, Calais, 2017-2021)

  • Alexandre Jesus (Univ. Coimbra, Portugal, 2016-2020)

  • Christopher Jankee (MENRT Univ. Littorale Côte d'Opale, Calais, 2014-2018) - defended

  • Trong Tuan Vu (INRIA HEMERA, 2011-2014) - defended

  • Mathieu Djamai (MENRT, 2009-2012) - defended

Postdoc

  • Saúl Zapotecas Martínez (2014-2015), Decomposition-based approaches for continuous multi-objective optimization

  • Asim Ali (2011-2012), Large scale peer-to-peer optimization

Visiting and external Ph.D

  • Hugo Monzon (PhD Student, Univ. Shinshu)

  • Miyako Sagawa (MSc student, Shinshu University, visiting Inria Oct. to Nov. 2014 and Apr. to May 2016), Knowledge extraction from the Pareto set of many-objective optimization problems

  • Oliver Cuate (PhD student, CINVESTAV-IPN, Mexico, from Apr. to Jun. 2016), Pareto explorer for many-objective combinatorial optimization

  • Juan José Palacios Alonso (PhD student, University of Oviedo, visiting inria from Oct. to Dec. 2014), multiobjective fuzzy optimization

  • Martin Drozdik (PhD student, Shinshu University, visiting Inria from Nov. 2013 to Sept. 2014), Differential evolution for multiobjective optimization

  • Hiba Yahyaoui (PhD student, Tunisia, visiting Inria from Apr. to Aug. 2013 and from Apr. to Aug. 2014), Adaptive neighborhood search

Engineer

  • Jing-Yu Ji. Distributed decomposition-based optimization. CPER Data, Inria. Feb 2018 to Feb 2020

Master thesis / Internship

  • David Redon, (Master 1, Univ Lille, 2020-2021), On the parallel design of SOO

  • Corwin Fevre, (Master 2, Univ Lille, 2018-2019), On the design of graph based optimization benchmarks

  • Pierre Corbel, (Master 1, Univ Lille, 2018-2019), feature design with deep learning

  • Yann Baes, (Master 1, Univ Lille, 2018-2019), feature design with deep learning

  • Roca Vincent, (Master 1, Univ Lille, 2018-2019), Neutrality in multi-objective flowshop problem

  • Gatien Ryckebusch, (Master 1, Univ Lille, 2018-2019), On solving multi-objective travelling thief problem

  • Marie Mons, (Master 1, Univ Lille, 2018-2019), multi-objective travelling thief problem

  • Nicolas Berveglieri, (Master 2, Univ Lille 1, 2017-2018), Global multi-objective optimization

  • Guillaume Maitrot, (Master 2, Univ Lille 1, 2017-2018), Multi-objective algorithm selection

  • Valentin Ryckewaert, (Master 2, Univ Lille 1, 2017-2018), Expensive Multi-objective Optimization based on Decomposition and Surrogate Models

  • Alexandre Verkyndt, (Master 2, Univ Lille 1, 2015-2016), Expensive Multi-objective Optimization based on Decomposition and Surrogate Models

  • Matthieu Caron, (Master 1, Univ Lille 1, 2015-2016), Cross-domain Multi-objective fitness landscape

  • Mokhtar Hedi, (Master 1, Univ Lille 1, 2015-2016), Scalar Multi-objective Optimization

  • Valentin Owczarek (Master 1, Univ Lille 1, 2014-2015), Simultaneous Optimistic Optimization

  • Delphine Poux, Marechal Tanguy (Master 1, Univ Lille 1, 2014-2015), Greedy Optimization for Gardens

  • Antoine Asseman (Master 2, Univ Lille 1, 2014-2015), Parallel multi-objective optimization

  • Gauvain Marquet (Master 2, Univ Lille 1, 2013-2014), Parallel multi-objective decomposition

  • Rémi Degruson (Master 2, Univ Lille 1, 2012-2013), Mulit-objectivization with coco

  • Yoann Dufresne (Master 1, Univ Lille 1, 2011-2012), New local strategies for multi-objective optimization

  • Hiba Yahyaoui (Master 2, ENSI Tunisia, 2012), Bringing Order in Varaiable Neighborhood Search

  • Ghazi Tekeya (Master 2, ENSI Tunisia, 2012), Multi-path Routing in Wireless Networks

  • Dhoha Ghrab (Master 2, Tunsia, 2011), Coloring and Routing in Wireless Networks

  • Luis Diego Arenas Pimentel (Master 1, Univ. Lille 1, 2010), Simulation and visualization of distributed algorithms in radio network models

  • Mathieu Djamai (Master 1, Polytech Lille 1, 2009), Efficient Branch-and-Bound algorithms using peer-to-peer fully distributed algorithms

  • Hammouda Mahmoud (Master 2, ENSI Tunis, 2009), Distributed self-organisation of radio devices

  • Abishek Singh (MSc, IIT Delhi, 2009), Distributed Constraint Optimization Problems (DCOP and DisCSP) for spectrum sharing

  • Nicola Gouvy, Pamela Wattebled (Master 1, Univ. Lille 1, 2009), Simulation and visualization of distributed algorithms for weighted graphs

Publications (hal)

Editorial work

  1. Dimo Brockhoff, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel. Feature cluster on "evolutionary multiobjective optimization". European Journal of Operational Research, vol. 243, n. 2, pp. 345–346, 2015.

Journal papers

  1. Arnaud Liefooghe, Fabio Daolio, Sébastien Verel, Bilel Derbel, Hernan Aguirre, Kiyoshi Tanaka. Landscape-Aware Performance Prediction for Evolutionary Multi-objective Optimization. IEEE Transactions on Evolutionary Computations (TEC). 2020.

  2. Hugo Monzon Maldonado, Hernan Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka. Estimating Hypervolume using Population Features from Dynamic Compartmental Models. Transaction of the Japanese Society for Evolutionary Computation (TJSEC). 2020.

  3. Yuri Marca, Hernan Aguirre, Saul Zapotecas-Martınez, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Kiyoshi Tanaka. MOEA with cubic interpolation on bi-objective problems with difficult Pareto set topology. Transaction of the Japanese Society for Evolutionary Computation (TJSEC), Vol. 10, No. 2, pp. 12-21, 2019

  4. Miyako Sagawa, Hernan Aguirre, Fabio Daolio, Arnaud Liefooghe, Bilel Derbel, Sebastien Verel, Kiyoshi Tanaka. A Machine-Learning Approach to Select Important Variables for Recombination on Many-objective Evolutionary Optimization. International Journal of Smart Computing and Artificial Intelligence. Vol.2, No.8, pp .59-78. 2018

  5. Trong-Tuan Vu, Bilel Derbel. Parallel Branch-and-Bound in Multi-core Multi-CPU Multi-GPU Heterogeneous Environments. Future Generation Computer Systems. accepted. 2015.

  6. Imen Jemili, Dhouha Ghrab, Amine Dhraief, Abdelfettah Belghith, Bilel Derbel, Ahmed Al-Mogren, Hassan Mathkour. CHRA: a coloring based hierarchical routing algorithm. J. Ambient Intelligence and Humanized Computing. Volume 6, Issue 1, pp. 69-82, 2015

  7. Bilel Derbel, Jérémie Humeau, Arnaud Liefooghe, Sébastien Verel. Distributed Localized Bi-objective Search. European Journal of Operational Research (EJOR), Elsevier. Volume 239, Issue 3, pp. 731-743, 2014

  8. Bilel Derbel, Mohamed Mosbah, Akka Zemmari. Sublinear Fully Distributed Partition with Applications. Theory of Computing Systems (ToCS). Volume 47, Issue 2, pp. 368-404, 2010

  9. Bilel Derbel, Cyril Gavoille. Fast Deterministic Distributed Algorithms for Sparse Spanners. Theoretical Computer Science (TCS). Volume 399, Issues 1-2, pages 83-100, 2008

Book chapter

  1. Mathieu Djamai, Bilel Derbel, Nouredine Melab. Large sclae P2P-Inspired Problem solving: a formal and experimental study. Large Scale Network-Centric Distributed Systems, A. Y. Zomaya and H. Sarbazi-Azad, Eds., John Wiley & Sons, Hoboken, NJ, USA, Chapter 4, pages, 73-102, 2013

International conference papers

  1. Bilel Derbel, Lorenzo Canonne. A graph coloring based parallel hill climber for large-scale NK-landscapes. The 31th ACM Genetic and Evolutionary Computation Conference (GECCO), Lille, France, 2021. Nominated for the best paper award

  2. Alexandre D. Jesus, Luís Paquete, Bilel Derbel, Arnaud Liefooghe. On the design and anytime performance of indicator-based branch and bound for multi-objective combinatorial optimization. The 31th ACM Genetic and Evolutionary Computation Conference (GECCO), Lille, France, 2021

  3. Bilel Derbel, Geoffrey Pruvost, Byung-Woo Hong. Enhancing MOEA/D with Escape Mechanisms. The 23th IEEE Congress on Evolutionary Computation, Kraków, Poland (CEC), 2021

  4. Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Hernán E. Aguirre, Kiyoshi Tanaka, Qingfu Zhang. Decomposition-Based Multi-objective Landscape Features and Automated Algorithm Selection. The 21th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), 2021

  5. Yuna Han, Bilel Derbel, Byung-Woo Hong. Convolutional Neural Networks based on Random Kernels in the Frequency Domain. The 36th International Conference on Information Networking (ICOIN), 2021

  6. Jaehwan Kim, Bilel Derbel, Byung-Woo Hong. Motion Estimation via Scale-Space in Unsupervised Deep Learning. The 36th International Conference on Information Networking (ICOIN), 2021

  7. Brahim Aboutaib, Sébastien Verel, Cyril Fonlupt, Bilel Derbel, Arnaud Leifooghe and Belaïd Ahiod. On Stochastic Fitness Landscapes: Local Optimality and Fitness Landscape Analysis for Stochastic Search Operators. The 16th International Conference on Parallel Problem Solving from Nature (PPSN), Leiden, Netherlands, 2020.

  8. Arnaud Liefooghe, Sébastien Verel, Bilel Derbel, Hernán Aguirre and Kiyoshi Tanaka. Dominance, Indicator and Decomposition based Search for Multi-objective QAP: Landscape Analysis and Automated Algorithm Selection. The 16th International Conference on Parallel Problem Solving from Nature (PPSN), Leiden, Netherlands, 2020.

  9. Omar Abdelkafi, Bilel Derbel, Arnaud Liefooghe and Darrell Whitley. On the Design of a Partition Crossover for the Quadratic Assignment Problem. The 16th International Conference on Parallel Problem Solving from Nature (PPSN), Leiden, Netherlands, 2020.

  10. Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel, Qingfu Zhang. Surrogate-assisted Multi-objective Combinatorial Optimization based on Decomposition and Walsh Basis. The 30th ACM Genetic and Evolutionary Computation Conference (GECCO), pp. to appear, Cancun, Mexico, 2020

  11. Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, Hernan Aguirre, Qingfu Zhang, Kiyoshi Ta- naka. Designing parallelism in Surrogate-assisted multiobjective optimization based on decomposition. The 30th ACM Genetic and Evolutionary Computation Conference (GECCO), pp. to appear, Cancun, Mexico, 2020.

  12. Xiaoran Ruan, Ke Li, Bilel Derbel, Arnaud Liefooghe. Surrogate Assisted Evolutionary Algorithm for Medium Scale Multi-Objective Optimisation Problems. The 30th ACM Genetic and Evolutio- nary Computation Conference (GECCO), pp. to appear, Cancun, Mexico, 2020.

  13. Alexandre De Jesus, Arnaud Liefooghe, Bilel Derbel, Luis Paquete. Algorithm Selection of Anytime Algorithms. The 30th ACM Genetic and Evolutionary Computation Conference (GECCO), pp. to appear, Cancun, Mexico, 2020.

  14. Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang. On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D. The 20th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), Séville, Spain, 2020.

  15. Hugo Monzon, Hernan Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka. Dynamic Compartmental Models for Large Multi-objective Landscapes and Performance Estimation. The 20th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), Séville, Spain, 2020. Nominated for the best paper award

  16. Bilel Derbel, Arnaud Liefooghe, Sébastien Verel, Hernán Aguirre and Kiyoshi Tanaka. New Features for Continuous Exploratory Landscape Analysis based on the SOO tree. The 15th ACM/SIGEVO Workshop on Foundations of Genetic Algorithms (FOGA XV), Postdam, Germany, 2019

  17. Nicolas Berveglieri, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre and Kiyoshi Tanaka. Surrogate-assisted multi-objective optimization based on decomposition: a comprehensive comparative analysis. The 28th ACM Genetic and Evolutionary Computation Conference (GECCO), Prague, Czech Republic, 2019

  18. Hugo Monzón, Hernán Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka. Dynamic Compartmental Models for Algorithm Analysis and Population Size Estimation. The 28th ACM (Companion) Genetic and Evolutionary Computation Conference (GECCO), Prague, Czech Republic, 2019. Nominated for the student workshop best paper award

  19. Omar Abdelkafi, Bilel Derbel, Arnaud Liefooghe. A Parallel Tabu Search for the Large-scale Quadratic Assignment Problem. The 21th IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, 2019

  20. Taishi Ito, Hernán Aguirre, Kiyoshi Tanaka, Arnaud Liefooghe, Bilel Derbel and Sébastien Verel. Estimating the relevance of variables for effective recombination. 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO), Lecture Notes in Computer Science (LNCS), vol 11411, pp 411-423, East Lansing, Michigan, USA, 2019

  21. Yuri Marca, Hernan Aguirre, Saúl Zapotecas, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel and Kiyoshi Tanaka. Approximating the Pareto set topology by cubic interpolation on bi-objective problems. 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO), Lecture Notes in Computer Science (LNCS), vol 11411, pp 386-398, East Lansing, Michigan, USA, 2019. Winner of the best student paper award

  22. Sébastien Verel, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre and Kiyoshi Tanaka. A Surrogate Model based on Walsh Decomposition for Pseudo-Boolean Functions. The 15th International Conference on Parallel Problem Solving from Nature (PPSN), Coimbra, Portugal, 2018

  23. Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Manuel López-Ibánez, Hernán Aguirre and Kiyoshi Tanaka. On Pareto Local Optimal Solutions Networks. The 15th International Conference on Parallel Problem Solving from Nature (PPSN), Coimbra, Portugal, 2018. Nominated for the best paper award

  24. Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka. A set-oriented MOEA/D. The 27th ACM Genetic and Evolutionary Computation Conference (GECCO), Kyoto, Japan, 2018.

  25. Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Jianyong Sun. Parallel Pareto Local Search Revisited - First experimental results on Bi-objective UBQP. The 27th ACM Genetic and Evolutionary Computation Conference (GECCO), Kyoto, Japan, 2018.

  26. Hugo Monzón, Hernán Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka. Studying MOEAs Dynamics and their Performance using a Three Compartmental Model. The 27th ACM (Companion) Genetic and Evolutionary Computation Conference (GECCO), Kyoto, Japan, 2018.

  27. Yuri Marca, Hernán Aguirre, Saúl Zapotecas, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Kiyoshi Tanaka. Pareto dominance-based MOEAs on Problems with Difficult Pareto Set Topologies. The 27th ACM (Companion) Genetic and Evolutionary Computation Conference (GECCO), Kyoto, Japan, 2018.

  28. Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe, Sébastien Verel. Using parallel strategies to speed up Pareto local search. 11th International Conference on Simulated Evolution and Learning (SEAL 2017), Lecture Notes in Computer Science (LNCS), Shenzhen, China, 2017. Winner of the best student paper award.

  29. Christopher Jankee, Sébastien Verel, Bilel Derbel, Cyril Fonlupt. Analysis of a batch strategy for a Master-Worker adaptive selection algorithm framework. The 9th International Joint Conference on Computational Intelligence (IJCCI), Madeira, Portugal, 2017

  30. Christopher Jankee, Sébastien Verel, Bilel Derbel, Cyril Fonlupt. On the Design of a Master-Worker Adaptive Algorithm Selection Framework. The 15th LNCS International conference on Artificial Evolution (EA), Paris, France, 2017

  31. Miyako Sagawa, Hernán Aguirre, Fabio Daolio, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Kiyoshi Tanaka. Learning variable importance to guide recombination on many-objective optimization. 5th International Conference on Smart Computing and Artificial Intelligence (SCAI), Hamamatsu, Japan, 2017

  32. Hugo Monzon, Hernan Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka. Closed States Model for Understanding the Dynamics of MOEAs. The 26th ACM Genetic and Evolutionary Computation Conference (GECCO), Berlin, Germany, 2017

  33. Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe. A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming Problem. The 19th IEEE Congress on Evolutionary Computation (CEC), San Sebastian, Spain, 2017

  34. Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka. Towards landscape-aware automatic algorithm configuration: preliminary experiments on neutral and rugged landscapes. The 17th European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP), LNCS, Amsterdam, The Netherlands, 2017

  35. Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Hernán Aguirre, Kiyoshi Tanaka. A fitness landscape analysis of Pareto local search on bi-objective permutation flowshop scheduling problems. The 9th International Conference on Evolutionary Multi-Criterion Optimization (EMO), LNCS, Münster, Germany, 2017

  36. Oliver Cuate, Oliver Schütze, Bilel Derbel, Arnaud Liefooghe, El-Ghazali Talbi, . An approach for the local exploration of discrete many objective optimization problems. The 9th International Conference on Evolutionary Multi-Criterion Optimization (EMO), LNCS, Münster, Germany, 2017

  37. Miyako Sagawa, Hernán Aguirre, Fabio Daolio, Arnaud Liefooghe, Bilel Derbel, Sébastien Verel, Kiyoshi Tanaka. Learning variable importance to guide recombination. IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (MCDM), part of the IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece, 2016

  38. Christopher Jankee, Sébastien Verel, Bilel Derbel, Cyril Fonlupt. A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods. The 14th International Conference on Parallel Problem Solving from Nature (PPSN), Edinburgh, Scotland, 2016

  39. Bilel Derbel, Arnaud Liefooghe, Qingfu Zhang, Hernan Aguirre, Kiyoshi Tanaka. Multi-objective Local Search based on Decomposition. The 14th International Conference on Parallel Problem Solving from Nature (PPSN), Edinburgh, Scotland, 2016

  40. Arnaud Liefooghe, Bilel Derbel. A correlation analysis of set quality indicator values in multiobjective optimization. The 25th ACM Genetic and Evolutionary Computation Conference (GECCO), Denver, USA, 2016

  41. Matthieu Basseur, Bilel Derbel, Adrien Goëffon, Arnaud Liefooghe. Experiments on greedy and local search heuristics for d–dimensional hypervolume subset selection. The 25th ACM Genetic and Evolutionary Computation Conference (GECCO), Denver, USA, 2016.

  42. Saul Zapotecas-Martinez, Bilel Derbel, Arnaud Liefooghe, Hernán Aguirre, Kiyoshi Tanaka. Geometric Differential Evolution in MOEA/D: A Preliminary Study. The 14th LNCS-LNAI International Conference on Artificial Intelligence (MICAI), Cuernavaca, Mexico, 2015.

  43. Christopher Jankee, Sébastien Verel, Bilel Derbel, Cyril Fonlupt. Distributed adaptive metaheuristic selection: comparaison of selection strategies. The 13th LNCS International conference on Artificial Evolution (EA), Lyon, France, 2015

  44. Christopher Jankee, Sébastien Verel, Bilel Derbel, Cyril Fonlupt. New adaptive selection strategies for distributed adaptive metaheuristic selection. The 24th ACM Genetic and Evolutionary Computation Conference (GECCO), Madrid, Spain, 2015

  45. Saul Zapotecas-Martinez, Bilel Derbel, Arnaud Liefooghe, Dimo Brockhoff, Hernán Aguirre, Kiyoshi Tanaka. Injecting CMA-ES into MOEA/D. The 24th ACM Genetic and Evolutionary Computation Conference (GECCO), Madrid, Spain, 2015

  46. Juan José Palacios Alonso, Bilel Derbel. On Maintaining Diversity in MOEA/D: Application to a Biobjective Combinatorial FJSP. The 24th ACM Genetic and Evolutionary Computation Conference (GECCO), Madrid, Spain, 2015

  47. Bilel Derbel, Arnaud Liefooghe, Gauvain Marquet, El-Ghazali Talbi. A fine-grained message passing MOEA/D. The 17th IEEE Congress on Evolutionary Computation (CEC), Sendai, Japan, 2015

  48. Bilel Derbel, Philippe Preux. Simultaneous Optimistic Optimization on the Noiseless BBOB Testbed. The 17th IEEE Congress on Evolutionary Computation (CEC), Sendai, Japan, 2015

  49. Gauvain Marquet, Bilel Derbel, Arnaud Liefooghe, El-Ghazali Talbi. Shake Them All! Rethinking Selection and Replacement in MOEA/D. Nominated for the best paper award. The 13th International Conference on Parallel Problem Solving from Nature (PPSN), LNCS. Ljubljana, Slovenia. September 2014

  50. Bilel Derbel, Dimo Brockhoff, Arnaud Liefooghe, Sebastien Verel. On the Impact of Multiobjective Scalarizing Functions. The 13th International Conference on Parallel Problem Solving from Nature (PPSN), LNCS. Ljubljana, Slovenia. September 2014.

  51. Martin Drozdik, Kiyoshi Tanaka, Hernan Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel. An Analysis of Differential Evolution Parameters on Rotated Bi-objective Optimization Functions. The 10th International Conference on Simulated Evolution And Learning (SEAL 2014), Dec 2014, Dunedin, New Zealand. Springer, pp.1-12, 2014

  52. Trong-Tuan Vu, Bilel Derbel. Link Heterogenous Work Stealing. The 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), IEEE/ACM. Chicago, USA. May 2014.

  53. Dhoha Ghrab, Bilel Derbel, Imen Jemili, Amine Dhraief, Abdelfettah Belghith. El-Ghazali Talbi. Coloring based Hierarchical Routing Approach. The 4th International Conference on Ambient Systems, Networks and Technologies (ANTS'13). Elsevier. Halifax, Canada. Jun 2013.

  54. Imen Jemili, Dhoha Ghrab, Abdelfettah Belghith, Bilel Derbel, Amine Dhraief. Collision Aware Coloring Algorithm for Wireless Sensor Networks. The 9th International Wireless Communications & Mobile Computing Conference (IWCMC'13). IEEE. Cagliari, Italy. Jul 2013.

  55. Hiba Yahyaoui, Bilel Derbel, Saoussen Krichen, El-Ghazali Talbi.A Variable Neighborhood Descent for solving the Single Machine Total Weighted Tardiness Problem. The 5th International Confernece on Modeling, Simulation and Applied Optimization (ICMSAO'13). IEEE Tunisia. 2013.

  56. Bilel Derbel, Dimo Brockhoff and Arnaud Liefooghe. Force-based Cooperative Search Directions in Evolutionary Multi-objective Optimization. The 7th International Conference on Evolutionary Multi-Criterion Optimization (EMO'13). LNCS. Mar 2013. Sheffield, UK.

  57. Trong-Tuan Vu, Bilel Derbel, Nouredine Melab. Adaptive Dynamic Load Balancing in Heterogenous Multiple GPUs-CPUs Distributed Setting: Case Study of Branch-and-Bound Tree Search. The 7th Learning and Intelligent OptimizatioN Conference (LION'13). LNCS. Jan 2013. Catania, IT.

  58. Trong-Tuan Vu, Bilel Derbel, Asim Ali, Ahcène Bendjoudi, Nouredine Melab. Overlay Centric Load Balancing: Applications to UTS and B&B. The 14th IEEE International Conference on Cluster Computing (CLUSTER'12). IEEE. Sep 2012. Beijing, China.

  59. Houda Derbel, Bilel Derbel. On Neighbohood Tree Search. The 21th ACM annual Conference on Genetic and Evolutionary Computation (GECCO'12). ACM. Jul 2011. Philadelphia, USA.

  60. Mathieu Djamaï, Bilel Derbel, Nouredine Melab. Impact of logical overlay upon a Pure P2P approach for the B&B algorithm. The 1st International conference on Systems and Computer Science (ICSCS'12). IEEE. Aug 2011. Lille, France.

  61. Bilel Derbel, Sebastien Verel. DAMS: Distributed Adaptive Metaheuristic Selection. The 20th ACM annual conference on Genetic and evolutionary computation (GECCO'11). ACM. Jul 2011. Dublin, Ireland.

  62. Bilel Derbel, El-Ghazali Talbi. Distributed Node Coloring in the SINR Model. The 30th International Conference on Distributed Computing Systems (ICDCS'10). IEEE. Jun 2010. Genova, Italy.

  63. Bilel Derbel, El-Ghazali Talbi. Radio Network Distributed Algorithms in the Unknown Neighborhood Model. Winner of the best paper award. The 11th International Conference on Distributed Computing and Networking (ICDCN'11). LNCS 5935, pages 155-166. Jan 2010. Calcutta, India.

  64. Bilel Derbel, Cyril Gavoille, David Peleg, Laurent Viennot. Local Computation of Nearly additive Spanners. The 23rd Symposium on DIStributed Computing (DISC'09). LNCS, pages 176-190. Sep 2009. Elche, Spain.

  65. Bilel Derbel. Local Maps: New Insights into Mobile Agent Algorithms. The 22th Symposium on DIStributed Computing (DISC'08). LNCS 5318, pages 121-136. Sep 2008. Bordeaux, France.

  66. Bilel Derbel, Cyril Gavoille, David Peleg, Laurent Viennot. On the Locality of Distributed Sparse Spanner Construction. The 27th Annual ACM Symposium on Principles of Distributed Computing (PODC'08). pages 273-282. Aug 2008. Toronto, Canada.

  67. Bilel Derbel, Stefan Gruner, Mohamed Mosbah. Mobile Agents For Implementing Local Computations in Graphs. The 4th International Conference on Graph Transformation (ICGT'08). LNCS, pages 99-104. Sep 2008. Leicester, UK.

  68. Bilel Derbel, Cyril Gavoille, David Peleg. Deterministic Distributed Construction of Linear Stretch Spanners in Polylogarithmic Time. slides. The 21th Symposium on DIStributed Computing (DISC'07), LNCS 4732, pages 179-192. Sep 24-26, 2007. Lemesos, Cyprus.

  69. Bilel Derbel. Efficient Distributed Handshake Using Mobile Agents. slides. The 8th International Conference on Distributed Computing and Networking (ICDCN'06), formerly known as IWDC, LNCS 4308, pages 294-305. Dec 27-30, 2006. Guwahati, India.

  70. Bilel Derbel, Cyril Gavoille. Fast Deterministic Distributed Algorithms for Sparse Spanners. slides. The 13th Colloquium on Structural Information and Communication Complexity (SIROCCO'06), LNCS 4056, pages 100-114. June 3-5, 2006. Chester, UK.

  71. Bilel Derbel, Mohamed Mosbah, Akka Zemmari. Fast Distributed Graph Partition and Application (Extended Abstract). slides, (GT MoVe slides). The 20th IEEE International Parallel & Distributed Processing Symposium (IPDPS'06), ACM-IEEE, ISBN:1-4244-0054-6. April 25-29, 2006. Rhodes, Greece

  72. Bilel Derbel, Mohamed Mosbah. A Fully Distributed Linear Time Algorithm for Cluster Network Decomposition. The 16th IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS'04). ACTA Press. November 9-11, 2004. MIT, Cambridge, USA

  73. Bilel Derbel, Mohamed Mosbah. Distributing the Execution of a Distributed Algorithm Over a Network. The 7th IEEE International Conference on Information Visualization (IV'03-AGT). July 16-18, 2003. London, UK

International peer-reviewed workshop papers

  1. Thanh-Do Tran, Dimo Brockoff, Bilel Derbel. Multiobjectivization with NSGA-II on the Noiseless BBOB Testbed. The GECCO (Companion) 4th workshop on Black-Box Optimization Benchmarking (BBOB'13). ACM. Amesterdam, NL. Jul 2013

  2. Mathieu Djamaï, Bilel Derbel, Nouredine Melab. Distributed B&B: A Pure Peer-to-Peer Approach. IPDPS Large-Scale Parallel Processing workshop (LSPP IPDPS'11). IEEE. May 2011. Anchorage, Alaska

  3. Bilel Derbel, Mohamed Mosbah. Distributed Graph Traversals by Relabeling Systems with Applications. Workshop on Graph Transformation for Verification and Concurrency (GT-VC affiliated to CONCUR'05). Electronic Notes in Theoretical Computer Science. 22 August 2005, San Francisco, California, USA

National peer-reviewed papers

  1. Bilel Derbel, Cyril Gavoille, David Peleg and Laurent Viennot. Construction Locale de Sous-Graphes Couvrants Peu Denses. slides. 10èmes Rencontres Francophones sur les Aspects Algorithmiques de Télécommunications (Algotel'08). pages 105-108. May 2008.

  2. Bilel Derbel, Mohamed Mosbah. Une plate-forme Distribuée pour l'Implémentation et la Visualisation de Calculs Locaux. Sixièmes Journées Scientifiques des Jeunes Chercheurs en Génie Electrique et Informatique (GEI), pages 135-139. 24-26 Mars, 2006. Hammamet, Tunisie.

Research reports

  1. Bilel Derbel, Dimo Brockhoff, Arnaud Liefooghe, Sébastien Verel. On the Impact of Scalarizing Functions on Evolutionary Multiobjective Optimization. [Research Report] hal-00968145v1 RR-8512, 2014.

  2. Trong-Tuan Vu, Bilel Derbel. Parallel Branch-and-Bound in Multi-core Multi-CPU Multi-GPU Heterogeneous Environments. [Research Report] hal-01067662v1 2014, pp.25

  3. Bilel Derbel, El-Ghazali Talbi. A Note on Node Coloring in the SINR Model. Research Report inria-00408670. Jun 2009

  4. Bilel Derbel, El-Ghazali Talbi. Radio Network Distributed Algorithms in the Unknown Neighborhood Model. Research Report inria-00292155. Jun 2008

  5. Bilel Derbel, Stefan Gruner and Mohamed Mosbah. Mobile Agents For Implementing Local Computations in Graphs. Research Report inria-00273765. April 2008

  6. Bilel Derbel. Local Maps: New Insights into Mobile Agent Algorithms. Research Report inria-00271624. April 2008

  7. Bilel Derbel, Cyril Gavoille, David Peleg and Laurent Viennot. On the Locality of Distributed Sparse Spanner Construction. Research Report RR-1441-08, LaBRI, University of Bordeaux 1, February 2008

  8. Bilel Derbel, Cyril Gavoille. Fast Deterministic Distributed Algorithms for Sparse Spanners. Research Report RR-1388-06, LaBRI, University of Bordeaux 1, February 2006

  9. Bilel Derbel, Mohamed Mosbah and Akka Zemmari. Fast Distributed Graph Partition and Application (Extended Abstract). Research Report RR-13609-05, LaBRI, University of Bordeaux 1, October 2005

  10. Bilel Derbel, with Mohamed Mosbah. A Linear Time Distributed Algorithm for Graph Decomposition. Research Report RR-1315-04, LaBRI, University of Bordeaux 1, February 2005

PhD Thesis

  1. Local Aspects in Distributed Computing. University of Bordeaux I, LaBRI, France. Dec 7, 2006. Referees: Pierre Fraigniaud and David Peleg. Examiners: P. Fraigniaud, C. Gavoille, G. Melançon, Y. Métivier, M. Mosbah and D. Peleg

Teaching

Department

  • Computer Science Department (FIL), Faculty of Science and Technology (FST), University of Lille (UDL).

  • Web portal of the computer science department (teaching resources).

Duties (in French)

  • (2018-...) Directeur de la MIAGE

  • (2011-2015) (co-)directeur d'études (avec Jean-Stéphane Varré) de la spécialité MOCAD (Modèles complexes, algorithmes et données) du Master 2 Informatique au FIL

  • (2011) (co-)création (avec Jean-Stéphane Varré) de la spécialité MOCAD (Modèles complexes, algorithmes et données) du Master 2 Informatique au FIL

  • (2009-...) Création et administration du site de candidature FIL (Master 1 et 2 au FIL)

  • (co-)Responsabilité de cours :

    • Page web de quelques ressources pédagogique personnelles

      • Optimisation et Apprentissage OA (M1 Machine Learning)

      • Algorithme et Complexité ACT — Meta-heuristiques (M1 Informatique)

      • Optimisation Combinatoire OC (M2 MOCAD)

      • Technologies et Logicielles pour les Données Émergentes TLDE (M2 MOCAD)

      • Application et Algorithmes AeA (M1 INFO)

      • Projet Encadré PJE (M1 INFO)

      • Conception Orientée Objet (M1 MIAGE) (terminé en 2014)

      • Conception d'Application Réparties CAR (M1 MIAGE) (terminé en 2014)