Publications

Edited Books (1)

  1. Slim Bechikh, Rituparna Datta, Abhishek Gupta, “Recent Advances in Evolutionary Multi-objective Optimization”, Adaptation, Learning, and Optimization (ISBN: 978-3-319-42978-6), Springer, 2017.

Book Chapter Papers (5)

  1. Maha Elarbi, Slim Bechikh, Lamjed Ben Said, Rituparna Datta, “Multi-objective Optimization: Classical and Evolutionary Approaches”, Recent Advances in Evolutionary Multi-objective Optimization, pp. 1–30, 2017.

  2. Radhia Azzouz, Slim Bechikh, Lamjed Ben Said, “Dynamic Multi-objective Optimization using Evolutionary Algorithms: A Survey”, Recent Advances in Evolutionary Multi-objective Optimization, pp. 31–70, 2017.

  3. Slim Bechikh, Maha Elarbi, Lamjed Ben Said, “Many-objective Optimization using Evolutionary Algorithms: A Survey”, Recent Advances in Evolutionary Multi-objective Optimization, pp. 105–137, 2017.

  4. Arun Kumar Sharma, Rituparna Datta, Maha Elarbi, Bishakh Bhattacharya, Slim Bechikh, “Practical Applications in Constrained Evolutionary Multi-objective Optimization”, Recent Advances in Evolutionary Multi-objective Optimization, pp. 159–179, 2017.

  5. Slim Bechikh, Lamjed Ben Said, Marouane Kessentini, Khaled Ghédira, “Preference Incorporation in Evolutionary Multi-objective Optimization: A Survey of the State-of-the-Art”, Advances in Computers, vol. 98, pp. 141–207, 2015.

Editorial Activities (1)

  1. Slim Bechikh, Carlos A. Coello Coello, “Guest Editorial: Special Issue on Advances in Evolutionary Multi-objective Optimization”, Swarm and Evolutionary Computation, vol. 40, no. 1, pp. 155–157, 2018.

Journal Papers (34)

  1. Hassen Louati, Slim Bechikh, Ali Louati, Abdulaziz Aldaej, Lamjed Ben Said, “Joint Design and Compression of Convolutional Neural Networks as a Bi-level Optimization Problem”, Neural Computing and Applications, accepted, 2022.

  2. Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba, Lamjed Ben Said, “Handling Uncertainty in SBSE: A Possibilistic Evolutionary Approach for Code Smells Detection”, Empirical Software Engineering, accepted, 2022.

  3. Maha Elarbi, Chaima Elwadi, Slim Bechikh, Zied Bahroun, Lamjed Ben Said, “An Evolutionary Multi-objective Approach for Coordinating Supplier-Producer Conflict in Lot Sizing”, International Journal of Information Technology & Decision Making, accepted, DOI: 10.1142/S0219622021500681, 2021.

  4. Hassen Louati, Slim Bechikh, Ali Louati, Chih-Cheng Hung, Lamjed Ben Said, “Deep Convolutional Neural Network Architecture Design as a Bi-level Optimization Problem”, Neurocomputing, accepted, DOI: 10.1016/j.neucom.2021.01.094, 2021.

  5. Rihab Said, Maha Elarbi, Slim Bechikh, Lamjed Ben Said, “Solving Combinatorial Bi-level Optimization Problems using Multiple Populations and Migration Schemes”, Operational Research, accepted, DOI: 10.1007/s12351-020-00616-z, 2021.

  6. Sofien Boutaib, Slim Bechikh, Fabio Palomba, Maha Elarbi, Mohamed Makhlouf, Lamjed Ben Said, “Code Smells Detection and Identification in Imbalanced Environments”, Expert Systems with Applications, vol. 166, no. 1, 114076, 2021.

  7. Mohamed Amine Abdeljaouad, Zied Bahroun, Slim Bechikh, “Evolutionary Multi-objective Optimization: A Bibliometric Study”, International Journal of Mathematics in Operational Research, accepted, DOI: 10.1504/IJMOR.2020.1046808, 2020.

  8. Rihab Said, Slim Bechikh, Ali Louati, Abdulaziz Aldaej, Lamjed Ben Said, “Solving Combinatorial Multi-objective Bi-level Optimization Problems using Multiple Populations and Migration Schemes”, IEEE Access, vol. 8, no. 1, 141674–141695, 2020.

  9. Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Mohamed Makhlouf, Lamjed Ben Said, “Approximating Complex Pareto Fronts with Pre-defined Normal Boundary Intersection Directions”, IEEE Transactions on Evolutionary Computation, vol. 24, no. 5, 809–823, 2020.

  10. Marwa Hammami, Slim Bechikh, Ali Louati, Mohamed, Makhlouf, Lamjed Ben Said, “Feature Conctruction as a Bi-level Optimization Problem”, Neural Computing and Applications, vol. 32, no. 17, 13783–13804, 2020.

  11. Anouer Bennajeh, Slim Bechikh, Lamjed Ben Said, Samir Aknine, “Multi-agent Cooperation for an Active Perception based on Driving behavior: Application in a Car-Following Behavior”, Applied Artificial Intelligence, vol. 34, no. 10, 710–729, 2020.

  12. Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Mohamed Makhlouf, Lamjed Ben Said, “On the Use of Artificial Malicious Patterns for Android Malware Detection”, Computers & Security, vol. 92, 101743, 2020.

  13. Abir Chaabani, Slim Bechikh, Lamjed Ben Said, “A Co-evolutionary Hybrid Decomposition-based Algorithm for Bi-level Combinatorial Optimization Problems”, Soft Computing – A Fusion of Foundations, Methodologies, and Applications, vol. 24, no. 10, pp. 7211–7229, 2020.

  14. Anouer Bennajeh, Slim Bechikh, Lamjed Ben Said, Samir Aknine “Bilevel Decision Making Modeling for an Autonomous Driver Agent: Application in the Car-following Driving Behavior”, Applied Artificial Intelligence, vol. 33, no. 13, 1157-1178, 2019.

  15. Marwa Chabbouh, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said, “Multi-objective Evolution of Oblique Decision Trees for Imbalanced Data Binary Classification”, Swarm and Evolutionary Computation, vol. 49, no. 1, pp. 1–22, 2019.

  16. Marwa Hammami, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said, “A Multi-objective Hybrid Filter-Wrapper Evolutionary Approach for Feature Selection”, Memetic Computing, vol. 11, no. 2, pp. 193–208, 2019.

  17. Maha Elarbi, Slim Bechikh, Lamjed Ben Said, “On the Importance of Isolated Infeasible Solutions in the Many-objective Constrained NSGA-III”, Knowledge-Based Systems, accepted, DOI: 10.1016/j.knosys.2018.05.015, 2019.

  18. Anouer Bennajeh, Slim Bechikh, Lamjed Ben Said, Samir Aknine, “Anticipation Model based on a Modified Fuzzy Logic Approach”, IET Intelligent Transport Systems, vol. 13, no. 2, pp. 330–339, 2019.

  19. Radhia Azzouz, Slim Bechikh, Lamjed Ben Said, Walid Trabelsi, “Handling Time-Varying Constraints and Objectives in Dynamic Evolutionary Multi-objective Optimization”, Swarm and Evolutionary Computation, vol. 39, no. 1, pp. 222–248, 2018.

  20. Anouer Bennajeh, Slim Bechikh, Lamjed Ben Said, Samir Aknine, “A Fuzzy Logic-based Anticipation Car-Following Model”, LNCS Transactions on Computational Collective Intelligence, vol. 30, no. 1, pp. 200–222, 2018.

  21. Abir Chaabani, Slim Bechikh, Lamjed Ben Said, “A New Co-evolutionary Decomposition-based Algorithm for Bi-level Combinatorial Optimization”, Applied Intelligence, vol. 48, no. 9, 2847–2872, 2018.

  22. Maha Elarbi, Slim Bechikh, Abhishek Gupta, Lamjed Ben Said, Yew-Soon Ong, “A New Decomposition-based NSGA-II for Many-objective Optimization”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 7, 1191–1210, 2018.

  23. Radhia Azzouz, Slim Bechikh, Lamjed Ben Said, “A Dynamic Multi-objective Evolutionary Algorithm using a Change Severity-based Adaptive Population Management Strategy”, Soft Computing – A Fusion of Foundations, Methodologies, and Applications, vol. 21, no. 4, pp. 885–906, 2017.

  24. Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Kalyanmoy Deb, Mel O Cinnéide, “On the Use of Many Quality Attributes for Software Refactoring: A Many-objective Search-Based Software Engineering Approach”, Empirical Software Engineering, vol. 21, no. 6, pp. 2503–2545, 2016.

  25. Slim Bechikh, Abir Chaabani, Lamjed Ben Said, “An Efficient Chemical Reaction Optimization Algorithm for Multi-objective Optimization”, IEEE Transactions on Cybernetics, vol. 45, no. 10, pp. 2051–2064, 2015.

  26. Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Kalyanmoy Deb, Ali Ouni, “Many-objective Software Remodularization using NSGA-III”, ACM Transactions on Software Engineering and Methodology, vol. 24, no. 3, article-17, 2015.

  27. Usman Mansoor, Marouane Kessentini, Manuel Wimmer, Philip Langer, Slim Bechikh, Kalyanmoy Deb, “MOMM: Multi-Objective Model Merging”, Journal of Systems and Software, vol. 103, no. 1, pp. 423–439, 2015.

  28. Ali Ouni, Marouane Kessentini, Slim Bechikh, Sahraoui A. Haouari, “Prioritizing Code-Smells Correction Tasks using Chemical Reaction Optimization”, Software Quality Journal, vol. 23, no. 2, pp. 323–361, 2015.

  29. Dilan Sahin, Marouane Kessentini, Slim Bechikh, Kalyanmoy Deb, “Code-Smells Detection as a Bi-Level Problem”, ACM Transactions on Software Engineering and Methodology, vol. 24, no. 1, article n°6, 2014.

  30. Ali Ouni, Marouane Kessentini, Manuel Wimmer, Philip Langer, Slim Bechikh, “Search-Based Metamodel Matching with Structural and Syntactic Measures”, Journal of Systems and Software, vol. 97, no. 1, pp. 1–14, 2014.

  31. Wael Kessentini, Marouane Kessentini, Houari A. Sahraoui, Slim Bechikh, Ali Ouni, “A Cooperative Parallel Search-Based Software Engineering Approach for Code-Smells Detection”, IEEE Transactions on Software Engineering, vol. 40, no. 9, pp. 841–861, 2014.

  32. Slim Bechikh, Lamjed Ben Said and Khaled Ghédira, “Group Preference-based Evolutionary Multi-objective Optimization with Non-Equally Important Decision Makers: Application to the Portfolio Selection Problem”, International Journal of Computer Information Systems and Industrial Management Applications, vol. 5, no. 1, pp. 278–288, 2013.

  33. Slim Bechikh, Lamjed Ben Said and Khaled Ghédira, “Searching for Knee Regions of the Pareto Front using Mobile Reference Points”, Soft Computing – A Fusion of Foundations, Methodologies, and Applications, vol. 15, no. 9, pp. 1807–1823, 2011.

  34. Lamjed Ben Said, Slim Bechikh and Khaled Ghédira, “The r-dominance: A New Dominance Relation for Interactive Evolutionary Multi-criteria Decision Making”, IEEE Transactions on Evolutionary Computation, vol. 14, no. 5, pp. 801–818, 2010.

Conference Papers (40)

  1. Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba, Lamjed Ben Said (2022), “A Possibilistic Evolutionary Approach to Handle the Uncertainty of Software Metrics Thresholds in Code Smells Detection”, In Proc. 2021 IEEE international conference on Software Quality, Reliability, and Security (IEEE QRS'21), Web Services (IEEE ICWS’21), pp. 574–585, IEEE Press, Hainan Island, China, 2021.

  2. Sofien Boutaib, Maha Elarbi, Slim Bechikh, Mohamed Makhlouf, Lamjed Ben Said, “Dealing with Label Uncertainty in Web Service Anti-patterns Detection using a Possibilistic Evolutionary Approach”, In Proc. 2021 IEEE International Conference on Web Services (IEEE ICWS’21), pp. 347–357, IEEE press, All-online virtual event, 2021.

  3. Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said “Malware Detection using Rough Set based Evolutionary Optimization”, in Proc. 2021 International Conference on Neural Information Processing (ICONIP'21), pp. 634–641, Springer, Bali, Indonesia, 2021.

  4. Hassen Louati, Slim Bechikh, Ali Louati, Abdulaziz Aldaej, Lamjed Ben Said, “Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification”, in Proc. 2021 international conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE’21), pp. 121–132, Springer, Kuala Lumpur, Malaysia, 2021.

  5. Sofien Boutaib, Maha Elarbi, Slim Bechikh, Chih-Cheng -Hung, Lamjed Ben Said, “Software Anti-patterns Detection Under Uncertainty Using a Possibilistic Evolutionary Approach”, In Proc. 2021 European Conference on Genetic Programming (EuroGP’21), pp. 181–197, Springer, Seville, Spain, 2021.

  6. Marwa Hammami, Slim Bechikh, Chih-Cheng -Hung, Lamjed Ben Said, “Class Dependent Weighted Feature Selection as a Bi-level Optimization Problem”, in Proc. 2020 International Conference on Neural Information Processing (ICONIP’20), pp. 269–278, Springer, Bangkok, Thailand, 2020.

  7. Marwa Hammami, Slim Bechikh, Mohamed Makhlouf, Chih-Cheng -Hung, Lamjed Ben Said, “Class Dependent Feature Construction as a Bi-level Optimization Problem”, in Proc. 2020 IEEE Congress on Evolutionary Computation (IEEE CEC’20), pp. 1–8, IEEE press, Glasgow, Scotland, 2020.

  8. Sofien Boutaib, Slim Bechikh, Carlos A. Coello Coello, Chih-Cheng Hung, Lamjed Ben Said, “Handling Uncertainty in Code Smells Detection using a Possibilistic SBSE Approach”, in Proc. Genetic and Evolutionary Computation Conference (GECCO'20), pp. 303–304, ACM Press, Cancun, Mexico, 2020.

  9. Slim Bechikh, Maha Elarbi, Chih-Cheng Hung, Sabrine Hamdi, “A Hybrid Evolutionary Algorithm with Heuristic Mutation for Multi-objective Bi-clustering”, in Proc. 2019 IEEE Congress on Evolutionary Computation (IEEE CEC’19), pp. 2323–2330, IEEE press, Wellington, New Zealand, 2019.

  10. Marwa Hammami, Slim Bechikh, Chih-Cheng -Hung, Lamjed Ben Said, “Weighted-Features Construction as a Bi-level Problem”, in Proc. 2019 IEEE Congress on Evolutionary Computation (IEEE CEC’19), pp. 1604–1611, IEEE press, Wellington, New Zealand, 2019.

  11. Wajira Abeysinghe, Michael Wong, Chih-Cheng Hung, Slim Bechikh, “A Constrained Box Algorithm for Imbalanced Data in Satellite Images”, in Proc. 2019 IEEE International Geoscience and Remote Sensing Symposium (IEEE IGARSS'19), accepted, IEEE press, Yokohama, Japan, 2019.

  12. Wajira Abeysinghe, Michael Wong, Chih-Cheng Hung, Slim Bechikh, “A Multi-objective Evolutionary Algorithm for Image Segmentation”, in Proc. 2019 IEEE SoutheastCon (IEEE SoutheastConf'19), accepted, IEEE press, Alabama, USA, 2019.

  13. Marwa Hammami, Slim Bechikh, Chih-Cheng -Hung, Lamjed Ben Said, “A Multi-objective Hybrid Filter-Wrapper Evolutionary Approach for Feature Construction on High-dimensional Data”, in Proc. 2018 IEEE Congress on Evolutionary Computation (IEEE CEC’18), pp. 1–8, IEEE press, Rio de Janeiro, Brazil, 2018.

  14. Wajira Abeysinghe, Chih-Cheng Hung, Xiaosong Wang, Slim Bechikh, Altaf Rattani, “Clustering Algorithms on Imbalanced Data using the SMOTE Technique for Image Segmentation”, in Proc. 2018 ACM Conference on Research on Adaptive and Convergent Systems (ACM RACS'18), pp. 17–22, ACM press, Honolulu, Hawaii, USA, 2018.

  15. Meriem Bousselmi, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said, “Bi-MOCK: A Multi-objective Evolutionary Algorithm for Bi-clustering with Automatic Determination of the Number of Bi-clusters”, in Proc. 24th International Conference on Neural Information Processing (ICONIP'17), pp. 366–376, Springer, Guangzhou, China, 2017.

  16. Abir Chaabani, Slim Bechikh, Lamjed Ben Said, “A Co-evolutionary Decomposition-based Chemical Reaction Algorithm for Bi-level Combinatorial Optimization Problems”, in Proc. 21st international conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES'17), pp. 780–789, Elsevier, Marseille, France, 2017.

  17. Maha Elarbi, Slim Bechikh, Lamjed Ben Said, “On the Importance of Isolated Solutions in Constrained Decomposition-based Many-objective Optimization”, in Proc. Genetic and Evolutionary Computation Conference (GECCO'17), pp. 561–568, ACM Press, Berlin, Germany, 2017.

  18. Abir Chaabani, Slim Bechikh, Lamjed Ben Said, “A Memetic Evolutionary Algorithm for Bi-level Combinatorial Optimization: A Realization between Bi-MDVRP and Bi-CVRP”, in Proc. 2016 IEEE Congress on Evolutionary Computation (IEEE CEC’16), pp. 1666–1673, IEEE Press, Vancouver, Canada, 2016.

  19. Walid Trabelsi, Radhia Azzouz, Slim Bechikh, Lamjed Ben Said, “Leveraging Evolutionary Algorithms for Dynamic Multi-objective Optimization Scheduling of Multi-tenant Smart Home Appliances”, in Proc. 2016 IEEE Congress on Evolutionary Computation (IEEE CEC’16), pp. 3533–3540, IEEE Press, Vancouver, Canada, 2016.

  20. Maha Elarbi, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said, “Solving Many-objective Problems using Targeted Search Directions”, in Proc. ACM Symposium on Applied Computing (ACM SAC'16), pp. 89–96, ACM Press, Pisa, Italy, 2016.

  21. Radhia Azzouz, Slim Bechikh, Lamjed Ben Said, “Multi-objective Optimization with Dynamic Constraints and Objectives: New Challenges for Evolutionary Algorithms”, in Proc. Genetic and Evolutionary Computation Conference (GECCO'15), pp. 615–622, ACM Press, Madrid, Spain, 2015.

  22. Abir Chaabani, Slim Bechikh, Lamjed Ben Said, “An Improved Co-evolutionary Decomposition-based Algorithm for Bi-level Combinatorial Optimization”, in Proc. Genetic and Evolutionary Computation Conference (GECCO'15), pp. 1363–1364, ACM Press, Madrid, Spain, 2015.

  23. Abir Chaabani, Slim Bechikh, Lamjed Ben Said, “A Co-evolutionary Decomposition-based Algorithm for Bi-level Combinatorial Optimization”, in Proc. 2015 IEEE Congress on Evolutionary Computation (IEEE CEC’15), pp. 1659–1666, IEEE Press, Sendai, Japan, 2015.

  24. Radhia Azzouz, Slim Bechikh, Lamjed Ben Said, “A Multiple Reference Point-based Evolutionary Algorithm for Dynamic Multi-objective Optimization with Undetectable Changes”, in Proc. 2014 IEEE Congress on Evolutionary Computation (IEEE CEC’14), pp. 3168–3175, IEEE Press, Beijing, China, 2014.

  25. Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Kalyanmoy Deb K, Manuel Wimmer, “Recommendation System for Software Refactoring using Innovization and Interactive Dynamic Optimization”, in Proc. 29th IEEE/ACM international conference on Automated Software Engineering (ASE 2014), pp. 168–183, Springer, Madrid, Spain, 2014.

  26. Amal Boukhdhir, Marouane Kessentini, Slim Bechikh, Josselin Dea, Lamjed Ben Said, “On the use of Machine Learning and Search-based Software Engineering for Ill-defined Fitness Function: A Case Study on Software Refactoring”, in Proc. 6th international Symposium on Search-Based Software Engineering 2014 (SSBSE’14), pp. 31–45, Springer, Fortaleza, Brazil, 2014.

  27. Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Mel O Cinnéide, Kalyanmoy Deb, “A Robust Multi-objective Approach for Software Refactoring Under Uncertainty”, in Proc. 6th international Symposium on Search-Based Software Engineering 2014 (SSBSE’14), pp. 168–183, Springer, Fortaleza, Brazil, 2014.

  28. Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Mel O Cinnéide, Kalyanmoy Deb, “Software Refactoring under Uncertainty: A Robust Multi-objective Approach”, in Proc. Genetic and Evolutionary Computation Conference (GECCO'14), pp. 187–188, ACM Press, Vancouver, Canada, 2014.

  29. Abir Chaabani, Slim Bechikh, Lamjed Ben Said, “An Indicator-Based Chemical Reaction Optimization Algorithm for Multi-objective Search”, in Proc. Genetic and Evolutionary Computation Conference (GECCO'14), pp. 85–86, ACM Press, Vancouver, Canada, 2014.

  30. Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Kalyanmoy Deb, Mel O Cinnéide, “High Dimensional Search-Based Software Engineering: Finding Tradeoffs Among 15 objectives for Automated Software Refactoring using NSGA-III”, in Proc. Genetic and Evolutionary Computation Conference (GECCO'14), pp. 1263–1270, ACM Press, Vancouver, Canada, 2014.

  31. Nessrine Azzouz, Slim Bechikh, Lamjed Ben Said, “Steady State IBEA assisted by MLP Neural Networks for Expensive Multi-objective Optimization Problems”, in Proc. Genetic and Evolutionary Computation Conference (GECCO'14), pp. 581–588, ACM Press, Vancouver, Canada, 2014.

  32. Sabrine Kalboussi, Slim Bechikh, Marouane Kessentini, Lamjed Ben Said, “On the Influence of the Number of Objectives in Evolutionary Autonomous Software Agent Testing”, in Proc. 25th IEEE International Conference on Tools with Artificial Intelligence (IEEE ICTAI’13), pp. 229–234, IEEE Press, Washington DC, USA, 2013.

  33. Sabrine Kalboussi, Slim Bechikh, Marouane Kessentini, Lamjed Ben Said, “Preference-based Many-objective Evolutionary Testing Generates Harder Test Cases for Autonomous Agents”, in Proc. 5th international Symposium on Search-Based Software Engineering 2013 (SSBSE’13), pp. 245–250, Springer, Saint Petersbug, Russia, 2013.

  34. Mohamed Boussaa, Marouane Kessentini, Slim Bechikh, Ali Ouni, Soukeina Ben Chikha, “A Cooperative Parallel Search-Based Software Engineering Approach for Code-Smells Fixing”, in Proc. 5th international Symposium on Search-Based Software Engineering 2013 (SSBSE’13), pp. 50–65, Springer, Russia, 2013.

  35. Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Daniel Tauritz, “Preference-based Multi-objective Software Modelling”, in Proc. 1st international workshop on Combining Modelling and Search-Based Software Engineering (CMSBSE’13), 35th International Conference on Software Engineering (ICSE’13), pp. 61–66, ACM Press, California, USA, 2013.

  36. Radhia Azzouz, Slim Bechikh and Lamjed Ben Said, “Articulating Decision Maker’s Preference Information within Multiobjective Artificial Immune Systems”, in Proc. 24th IEEE International Conference on Tools with Artificial Intelligence (IEEE ICTAI’12), pp. 327–334, IEEE Press, Athens, Greece, 2012.

  37. Slim Bechikh, Lamjed Ben Said and Khaled Ghédira, “Negotiating Decision Makers' Reference Points for Group Preference-based Evolutionary Multi-objective Optimization”, in Proc. 11th IEEE International Conference on Hybrid Intelligent Systems (IEEE HIS'11), pp. 377–382, IEEE Press, Malaka, Malaysia, 2011.

  38. Slim Bechikh, Lamjed Ben Said and Khaled Ghédira, “Estimating Nadir Point in Multi-objective Optimization using Mobile Reference Points”, in Proc. 2010 IEEE Congress on Evolutionary Computation (IEEE CEC’10), pp. 2129–2137, IEEE Press, Barcelona, Spain, 2010.

  39. Slim Bechikh, Lamjed Ben Said and Khaled Ghédira, “Searching for Knee Regions in Multi-objective Optimization using Mobile Reference Points”, in Proc. 25th ACM Symposium on Applied Computing (ACM SAC’10 Best paper Award), pp. 1118–1125, ACM Press, Sierre, Switzerland, 2010.

  40. Slim Bechikh, Lamjed Ben Said and Khaled Ghédira, “A Novel Multi-objective Memetic Algorithm for Continunous Optimization”, in Proc. 20th IEEE International Conference on Tools with Artificial Intelligence (IEEE ICTAI’08), pp. 180–189, IEEE Press, Ohio, USA, 2008.

Habilitation Thesis

  • Slim Bechikh, “Handling Some Real World Aspects in Evolutionary Multi-objective Optimization: Efficiency, Dimensionality, and Dynamicity”, Habilitation thesis, High Institute of Management of Tunis, University of Tunis, Tunisia (Submission date: 28-JAN-2015, Defense date: 18-May-2015), Publicly defended in front of the following jury members: Prof. Nahla Ben Amor (University of Tunis), Prof. Yew-Soon Ong (Nanyang Technological University of Singapore), Prof. Saoussen Krichen (University of Tunis), Prof. Mhamed Ali Elaroui (University of Carthage), Prof. Mohamed Naceur Azaiez (Tunisia Business School).

PhD Thesis

  • Slim Bechikh, “Incorporating Decision Maker's Preference Information in Evolutionary Multi-objective Optimization”, PhD thesis, High Institute of Management of Tunis, University of Tunis, Tunisia (Submission date: 26-JAN-2012, Defense date: 08-JAN-2013), Publicly defended in front of the following jury members: Prof. Henda Hajjami Ben Ghezala (University of Manouba), Prof. Jin-Kao Hao (University of Angers-France), Prof. Saoussen Krichen (University of Tunis), Prof. Khaled Ghedira (University of Tunis), Prof. Lamjed Ben Said (University of Tunis).

MSc Thesis

  • Slim Bechikh, “PHC-NSGA-II: Un Nouvel Algorithme Hybride pour l'Optimisation Evolutionnaire Multi-objectif”, MSc thesis, High Institute of Management of Tunis, University of Tunis, Tunisia (Submission date: 30-OCT-2008, Defense date: 25-DEC-2008), Publicly defended in front of the following Jury members: Prof. Moncef Tagina (University of Manouba), Dr. Moez Hammami (University of Tunis), Prof. Lamjed Ben Said (University of Tunis).