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ORCIDMaha Elarbi
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2020 – today
- 2024
[c11]Safa Mahouachi, Maha Elarbi, Khaled Sethom, Slim Bechikh, Carlos A. Coello Coello:
A Bi-Level Evolutionary Model Tree Induction Approach for Regression. CEC 2024: 1-9- 2023
- [j9]Rihab Said
, Maha Elarbi, Slim Bechikh, Carlos Artemio Coello Coello, Lamjed Ben Said:
Discretization-Based Feature Selection as a Bilevel Optimization Problem. IEEE Trans. Evol. Comput. 27(4): 893-907 (2023) - 2022
- [j8]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said:
Uncertainty-wise software anti-patterns detection: A possibilistic evolutionary machine learning approach. Appl. Soft Comput. 129: 109620 (2022) - [j7]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba, Lamjed Ben Said:
Handling uncertainty in SBSE: a possibilistic evolutionary approach for code smells detection. Empir. Softw. Eng. 27(6): 124 (2022) - [j6]Maha Elarbi, Chaima Elwadi, Slim Bechikh, Zied Bahroun, Lamjed Ben Said:
An Evolutionary Multi-objective Approach for Coordinating Supplier-Producer Conflict in Lot Sizing. Int. J. Inf. Technol. Decis. Mak. 21(2): 541-575 (2022) - [j5]Rihab Said, Maha Elarbi, Slim Bechikh, Lamjed Ben Said:
Solving combinatorial bi-level optimization problems using multiple populations and migration schemes. Oper. Res. 22(3): 1697-1735 (2022) - [c10]Rihab Said, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said:
Interval-based Cost-sensitive Classification Tree Induction as a Bi-level Optimization Problem. CEC 2022: 1-8 - [c9]Rihab Said, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said:
Cost-sensitive classification tree induction as a bi-level optimization problem. GECCO Companion 2022: 284-287 - [c8]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba, Lamjed Ben Said:
A bi-level evolutionary approach for the multi-label detection of smelly classes. GECCO Companion 2022: 782-785 - 2021
- [j4]Sofien Boutaib, Slim Bechikh, Fabio Palomba, Maha Elarbi, Mohamed Makhlouf, Lamjed Ben Said:
Code smell detection and identification in imbalanced environments. Expert Syst. Appl. 166: 114076 (2021) - [j3]Maha Elarbi, Slim Bechikh, Lamjed Ben Said:
On the importance of isolated infeasible solutions in the many-objective constrained NSGA-III. Knowl. Based Syst. 227: 104335 (2021) - [c7]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
Software Anti-patterns Detection Under Uncertainty Using a Possibilistic Evolutionary Approach. EuroGP 2021: 181-197 - [c6]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. ICWS 2021: 347-357 - [c5]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba, Lamjed Ben Said:
A Possibilistic Evolutionary Approach to Handle the Uncertainty of Software Metrics Thresholds in Code Smells Detection. QRS 2021: 574-585 - 2020
- [j2]Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Mohamed Makhlouf, Lamjed Ben Said:
Approximating Complex Pareto Fronts With Predefined Normal-Boundary Intersection Directions. IEEE Trans. Evol. Comput. 24(5): 809-823 (2020)
2010 – 2019
- 2019
- [c4]Slim Bechikh, Maha Elarbi, Chih-Cheng Hung, Sabrine Hamdi, Lamjed Ben Said:
A Hybrid Evolutionary Algorithm with Heuristic Mutation for Multi-objective Bi-clustering. CEC 2019: 2323-2330 - 2018
- [j1]Maha Elarbi, Slim Bechikh, Abhishek Gupta, Lamjed Ben Said, Yew-Soon Ong:
A New Decomposition-Based NSGA-II for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 48(7): 1191-1210 (2018) - 2017
- [c3]Chedi Abdelkarim, Lilia Rejeb, Lamjed Ben Said, Maha Elarbi:
Evidential learning classifier system. GECCO (Companion) 2017: 123-124 - [c2]Maha Elarbi, Slim Bechikh, Lamjed Ben Said:
On the importance of isolated solutions in constrained decomposition-based many-objective optimization. GECCO 2017: 561-568 - [p3]Maha Elarbi, Slim Bechikh, Lamjed Ben Said, Rituparna Datta:
Multi-objective Optimization: Classical and Evolutionary Approaches. Recent Advances in Evolutionary Multi-objective Optimization 2017: 1-30 - [p2]Slim Bechikh, Maha Elarbi, Lamjed Ben Said:
Many-objective Optimization Using Evolutionary Algorithms: A Survey. Recent Advances in Evolutionary Multi-objective Optimization 2017: 105-137 - [p1]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 2017: 159-179 - 2016
- [c1]Maha Elarbi, Slim Bechikh, Lamjed Ben Said, Chih-Cheng Hung:
Solving many-objective problems using targeted search directions. SAC 2016: 89-96
Coauthor Index
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