Maha Elarbi

According to our database, Maha Elarbi authored at least 23 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Bi-Level Evolutionary Model Tree Induction Approach for Regression.

Safa Mahouachi, Maha Elarbi, Khaled Sethom, Slim Bechikh, Carlos A. Coello Coello

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

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

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

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

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

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

Cost-sensitive classification tree induction as a bi-level optimization problem.

Rihab Said, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 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

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

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

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

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

Proceedings of the 21st IEEE International Conference on Software Quality, 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

Proceedings of the 2021 IEEE International Conference on Web Services, 2021

Software Anti-patterns Detection Under Uncertainty Using a Possibilistic Evolutionary Approach.

Sofien Boutaib, Maha Elarbi, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said

Proceedings of the Genetic Programming - 24th European Conference, 2021

2020

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

2019

A Hybrid Evolutionary Algorithm with Heuristic Mutation for Multi-objective Bi-clustering.

Slim Bechikh, Maha Elarbi, Chih-Cheng Hung, Sabrine Hamdi, Lamjed Ben Said

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

A New Decomposition-Based NSGA-II for Many-Objective Optimization.

Maha Elarbi, Slim Bechikh, Abhishek Gupta, Lamjed Ben Said, Yew-Soon Ong

IEEE Trans. Syst. Man Cybern. Syst., 2018

2017

On the importance of isolated solutions in constrained decomposition-based many-objective optimization.

Maha Elarbi, Slim Bechikh, Lamjed Ben Said

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Evidential learning classifier system.

Chedi Abdelkarim, Lilia Rejeb, Lamjed Ben Said, Maha Elarbi

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Practical Applications in Constrained Evolutionary Multi-objective Optimization.

Arun Kumar Sharma, Rituparna Datta, Maha Elarbi, Bishakh Bhattacharya, Slim Bechikh

Proceedings of the Recent Advances in Evolutionary Multi-objective Optimization, 2017

Multi-objective Optimization: Classical and Evolutionary Approaches.

Maha Elarbi, Slim Bechikh, Lamjed Ben Said, Rituparna Datta

Proceedings of the Recent Advances in Evolutionary Multi-objective Optimization, 2017

Many-objective Optimization Using Evolutionary Algorithms: A Survey.

Slim Bechikh, Maha Elarbi, Lamjed Ben Said

Proceedings of the Recent Advances in Evolutionary Multi-objective Optimization, 2017

2016

Solving many-objective problems using targeted search directions.

Maha Elarbi, Slim Bechikh, Lamjed Ben Said, Chih-Cheng Hung

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016