Solving many-objective problems using targeted search directions. - Maha Elarbi; Slim Bechikh; Lamjed Ben Said; Chih-Cheng Hung (SAC, 2016)

Many-objective Optimization Using Evolutionary Algorithms: A Survey. - Slim Bechikh; Maha Elarbi; Lamjed Ben Said (Recent Advances in Evolutionary Multi-objective Optimization, 2017)

Multi-objective Optimization: Classical and Evolutionary Approaches. - Maha Elarbi; Slim Bechikh; Lamjed Ben Said; Rituparna Datta (Recent Advances in Evolutionary Multi-objective Optimization, 2017)

Practical Applications in Constrained Evolutionary Multi-objective Optimization. - Arun Kumar Sharma; Rituparna Datta; Maha Elarbi; Bishakh Bhattacharya; Slim Bechikh (Recent Advances in Evolutionary Multi-objective Optimization, 2017)

Evidential learning classifier system. - Chedi Abdelkarim; Lilia Rejeb; Lamjed Ben Said; Maha Elarbi (GECCO (Companion), 2017)

On the importance of isolated solutions in constrained decomposition-based many-objective optimization. - Maha Elarbi; Slim Bechikh; Lamjed Ben Said (GECCO, 2017)

A New Decomposition-Based NSGA-II for Many-Objective Optimization. - Maha Elarbi; Slim Bechikh; Abhishek Gupta 001; Lamjed Ben Said; Yew-Soon Ong (IEEE Trans. Syst. Man Cybern. Syst., 2018)

A Hybrid Evolutionary Algorithm with Heuristic Mutation for Multi-objective Bi-clustering. - Slim Bechikh; Maha Elarbi; Chih-Cheng Hung; Sabrine Hamdi; Lamjed Ben Said (CEC, 2019)

Approximating Complex Pareto Fronts With Predefined Normal-Boundary Intersection Directions. - Maha Elarbi; Slim Bechikh; Carlos A. Coello Coello; Mohamed Makhlouf; Lamjed Ben Said (IEEE Trans. Evol. Comput., 2020)

Software Anti-patterns Detection Under Uncertainty Using a Possibilistic Evolutionary Approach. - Sofien Boutaib; Maha Elarbi; Slim Bechikh; Chih-Cheng Hung; Lamjed Ben Said (EuroGP, 2021)

Dealing with Label Uncertainty in Web Service Anti-patterns Detection using a Possibilistic Evolutionary Approach. - Sofien Boutaib; Maha Elarbi; Slim Bechikh; Mohamed Makhlouf; Lamjed Ben Said (ICWS, 2021)

A Possibilistic Evolutionary Approach to Handle the Uncertainty of Software Metrics Thresholds in Code Smells Detection. - Sofien Boutaib; Maha Elarbi; Slim Bechikh; Fabio Palomba; Lamjed Ben Said (QRS, 2021)

Code smell detection and identification in imbalanced environments. - Sofien Boutaib; Slim Bechikh; Fabio Palomba; Maha Elarbi; Mohamed Makhlouf; Lamjed Ben Said (Expert Syst. Appl., 2021)

On the importance of isolated infeasible solutions in the many-objective constrained NSGA-III. - Maha Elarbi; Slim Bechikh; Lamjed Ben Said (Knowl. Based Syst., 2021)

Interval-based Cost-sensitive Classification Tree Induction as a Bi-level Optimization Problem. - Rihab Said; Maha Elarbi; Slim Bechikh; Carlos A. Coello Coello; Lamjed Ben Said (CEC, 2022)

A bi-level evolutionary approach for the multi-label detection of smelly classes. - Sofien Boutaib; Maha Elarbi; Slim Bechikh; Fabio Palomba; Lamjed Ben Said (GECCO Companion, 2022)

Cost-sensitive classification tree induction as a bi-level optimization problem. - Rihab Said; Maha Elarbi; Slim Bechikh; Carlos A. Coello Coello; Lamjed Ben Said (GECCO Companion, 2022)

Uncertainty-wise software anti-patterns detection: A possibilistic evolutionary machine learning approach. - Sofien Boutaib; Maha Elarbi; Slim Bechikh; Carlos A. Coello Coello; Lamjed Ben Said (Appl. Soft Comput., 2022)

Handling uncertainty in SBSE: a possibilistic evolutionary approach for code smells detection. - Sofien Boutaib; Maha Elarbi; Slim Bechikh; Fabio Palomba; Lamjed Ben Said (Empir. Softw. Eng., 2022)

An Evolutionary Multi-objective Approach for Coordinating Supplier-Producer Conflict in Lot Sizing. - Maha Elarbi; Chaima Elwadi; Slim Bechikh; Zied Bahroun; Lamjed Ben Said (Int. J. Inf. Technol. Decis. Mak., 2022)

Solving combinatorial bi-level optimization problems using multiple populations and migration schemes. - Rihab Said; Maha Elarbi; Slim Bechikh; Lamjed Ben Said (Oper. Res., 2022)

Discretization-Based Feature Selection as a Bilevel Optimization Problem. - Rihab Said; Maha Elarbi; Slim Bechikh; Carlos Artemio Coello Coello; Lamjed Ben Said (IEEE Trans. Evol. Comput., 2023)

A Bi-Level Evolutionary Model Tree Induction Approach for Regression. - Safa Mahouachi; Maha Elarbi; Khaled Sethom; Slim Bechikh; Carlos A. Coello Coello (CEC, 2024)

Cross-Project Code Smell Detection as a Dynamic Optimization Problem: An Evolutionary Memetic Approach. - Sofien Boutaib; Maha Elarbi; Slim Bechikh; Carlos A. Coello Coello; Lamjed Ben Said (CEC, 2025)

Adaptive Normal-Boundary Intersection Directions for Evolutionary Many-Objective Optimization with Complex Pareto Fronts. - Maha Elarbi; Slim Bechikh; Carlos A. Coello Coello (EMO (1), 2025)

Bi-level Evolutionary Model Tree Chain Induction for Multi-output Regression. - Safa Mahouachi; Maha Elarbi; Slim Bechikh (Neurocomputing, 2025)