• (Event) 7th Special session on "Advances in Decomposition-­based Evolutionary Multi-objective Optimization (ADEMO)", CEC 2023 (Chicago, USA) | deadline: Jan 27, 2023

• (Past Event) 5th GECCO workshop on "Decomposition Techniques in Evolutionary Optimization", DTEO@GECCO 2022 (Boston, USA) | deadline : April 11, 2022

• (Open fundings & positions) Would you like to join for a Master Thesis, PhD Thesis, Post-doc ? Feel free to drop me an email with your cv !

No time to update the news frequently ... coming back asap !

• (31-03-23) Renewed Collaborative Professor at Shinshu University, Japan !

• (09-11-22) PhD defense of  Nicolas Berveglieri

• (04-11-22) Welcome to  our colleagues Kiyoshi Tanaka & Daisuke Tsuda from Shinshu University, Japan

• (05-07-22)  Visiting professor Francisco Chicano from the University of Málaga, Spain

• (13-05-22) GECCO best paper nomination in the EMO track ! Congratulations to our collaborator Roberto Santana and our PhD student Raphaël Cosson !

• (03-12-21) PhD Defense of Geoffrey Pruvost

• (29-09-21) Appointed Collaborative Professor at Shinshu University, Japan

• (01-10-21) Visiting professor Roberto Santana, University of the Basque Country, Spain

• (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

Administration

• Team leader of the BONUS Inria research group, since 2023

• Member of the Site Committee of the SLICES-FR (European research infrastructure) and Scientific leader of Lille's site, since 2023

• Member of the CODO CPER CornelIA, since 2023

• Member of the CEP Inria Lille, since 2023

• Responsible of the International relations and student Mobility, Computer Science Department, since 2022

• Member of the "Conseil de perfectionnement",  since 2022

• Deputy team leader of the BONUS Inria research group, 2018-2023

• Member of the Computer Science Department Consul,  2022-2023

• Member of the MADIS Doctoral School Bureau, Computer Science college, since 2022

• Member of the CER committee (PhDs, invited/sabbatical prof.), Inria Lille, 2018-2023

• Member of the education/research committee (Commission mixte), Computer Science Department,  2018-2023

• Director of the MIAGE Master (2018-2022)

• Director of studies MOCAD second year Master (2009-2015)

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

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

Research

• GECCO ECOM Track co-chair (2022 and 2023)

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

• Local organization of the Genetic and Evolutionary Computation Conference, ACM GECCO'2021@Lille 

• Regular conference PC member (GECCO, CEC, PPSN, EvoCOP, etc) and journal reviewer (TEVC, EJOR, ASOC, RAIRO,  etc)  

• GECCO workshop series on "Decomposition Techniques in Evolutionary Optimization", affiliated to GECCO

• Special sessions on "Advances in Decomposition-­based Evolutionary Multi-objective Optimization (ADEMO)",  affiliated to WCCI/CEC 

• CIMO workshop series on "Computational Intelligence for Massive Optimization" (2018-2019)

• Special session on "Multi-/many-objective optimization and learning", BIOMA 2018, Paris, France

• The Artificial Evolution Summer School (AESS 2013), Quiberon, France, Jun 2013 

• EMO@MCDM, the Evolutionary Multiobjective Optimization session at the MCDM'2013 conference, Malaga, Spain, 2013

• GRID'5000 Spring School, Lille, France, Apr. 2010

• The annual GRID'5000 practical training days in Lille (2008 and 2009)

• 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 Center for Computational Science, 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)

PhDs

• David Redon (2021-2024)

• Lorenzo Canonne (2020-2023)

• Raphaël Cosson (2019-2023)

• Nicolas Berveglieri (2018-2022) — PhD  defended

• Geoffrey Pruvost (2018-2021) — PhD defended

• Brahim Aboutaeib (Univ. Littorale Côte d'Opale, Calais, 2017-2023)

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

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

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

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

Postdocs

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

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

Visiting PhDs

• Imanol, Unanue (University of Basque Country, Spain), Visiting Inria in Summer 2022

• 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. Multi-objective fuzzy optimization 

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

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

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. Lorenzo Canonne and Bilel Derbel. DRILS Revisited : on the combination of perturbation with graybox optimization techniques. The 32th ACM Genetic and Evolutionary Computation Conference (GECCO 2022), Boston, USA. 2022.

2. Raphaël Cosson, Bilel Derbel, Arnaud Liefooghe, Hernan Aguirre, Qingfu Zhang and Kiyoshi Tanaka. Cost-vs-Accuracy of Sampling in Multi-objective Combinatorial Exploratory Landscape Analysis. The 32th ACM Genetic and Evolutionary Computation Conference (GECCO 2022), Boston, USA. 2022.

3. Raphaël Cosson, Roberto Santana, Bilel Derbel, Arnaud Liefooghe. Multi-objective NK Landscapes with Heterogeneous Objectives. The 32th ACM Genetic and Evolutionary Computation Conference (GECCO 2022), Boston, USA. 2022.

4. Roberto Santana, Arnaud Liefooghe, Bilel Derbel. Boomerang-shaped Neural Embeddings for NK Landscapes. The 32th ACM Genetic and Evolutionary Computation Conference (GECCO 2022), Boston, USA. 2022.

5. 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

6. 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

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

8. 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

9. 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

10. 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

11. 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.

12. 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.

13. 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.

14. 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

15. 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.

16. 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.

17. 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.

18. 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.

19. 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

20. 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

21. 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

22. 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

23. 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

24. 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

25. 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

26. 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

27. 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

28. 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.

29. 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.

30. 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.

31. 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.

32. 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.

33. 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

34. 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

35. 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

36. 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 

37. 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

38. 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

39. 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

40. 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

41. 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

42. 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

43. 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

44. 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

45. 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.

46. 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.

47. 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

48. 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

49. 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

50. 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

51. 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

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

53. 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

54. 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. 

55. 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

56. 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. 

57. 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. 

58. 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.

59. 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.

60. 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.

61. 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.

62. 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.

63. 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.

64. 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.

65. 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.

66. 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.

67. 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.

68. 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.

69. 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.

70. 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.

71. 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.

72. 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.

73. 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.

74. 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.

75. 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

76. 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

77. 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

Department

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

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

Duties (in French)

• (2022-...) Responsable Relation Internationale, Département Informatique, FST

• (2018-2022) 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 : 

  • Quelques ressources pédagogiques 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)