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Maha Elarbi
Maha Elarbi
University of Tunis, ISG-Campus, SMART laboratory
Verified email at isg.u-tunis.tn
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Cited by
Cited by
Year
A new decomposition-based NSGA-II for many-objective optimization
M Elarbi, S Bechikh, A Gupta, LB Said, YS Ong
IEEE transactions on systems, man, and cybernetics: systems 48 (7), 1191-1210, 2017
2762017
Many-objective optimization using evolutionary algorithms: A survey
S Bechikh, M Elarbi, L Ben Said
Recent advances in evolutionary multi-objective optimization, 105-137, 2017
962017
Approximating complex Pareto fronts with predefined normal-boundary intersection directions
M Elarbi, S Bechikh, CAC Coello, M Makhlouf, LB Said
IEEE Transactions on Evolutionary Computation 24 (5), 809-823, 2019
392019
Code smell detection and identification in imbalanced environments
S Boutaib, S Bechikh, F Palomba, M Elarbi, M Makhlouf, LB Said
Expert Systems with Applications 166, 114076, 2021
362021
Multi-objective optimization: classical and evolutionary approaches
M Elarbi, S Bechikh, L Ben Said, R Datta
Recent advances in evolutionary multi-objective optimization, 1-30, 2017
362017
Solving combinatorial bi-level optimization problems using multiple populations and migration schemes
R Said, M Elarbi, S Bechikh, L Ben Said
Operational Research 22 (3), 1697-1735, 2022
232022
On the importance of isolated infeasible solutions in the many-objective constrained NSGA-III
M Elarbi, S Bechikh, LB Said
Knowledge-Based Systems 227, 104335, 2021
202021
On the importance of isolated solutions in constrained decomposition-based many-objective optimization
M Elarbi, S Bechikh, LB Said
Proceedings of the Genetic and Evolutionary Computation Conference, 561-568, 2017
152017
Discretization-based feature selection as a bilevel optimization problem
R Said, M Elarbi, S Bechikh, CAC Coello, LB Said
IEEE Transactions on Evolutionary Computation 27 (4), 893-907, 2022
132022
Practical applications in constrained evolutionary multi-objective optimization
AK Sharma, R Datta, M Elarbi, B Bhattacharya, S Bechikh
Recent advances in evolutionary multi-objective optimization, 159-179, 2017
92017
Uncertainty-wise software anti-patterns detection: a possibilistic evolutionary machine learning approach
S Boutaib, M Elarbi, S Bechikh, CAC Coello, LB Said
Applied Soft Computing 129, 109620, 2022
52022
Solving many-objective problems using targeted search directions
M Elarbi, S Bechikh, LB Said, CC Hung
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 89-96, 2016
52016
Software anti-patterns detection under uncertainty using a possibilistic evolutionary approach
S Boutaib, M Elarbi, S Bechikh, CC Hung, L Ben Said
Genetic Programming: 24th European Conference, EuroGP 2021, Held as Part of …, 2021
42021
A Hybrid Evolutionary Algorithm with Heuristic Mutation for Multi-objective Bi-clustering
S Bechikh, M Elarbi, CC Hung, S Hamdi, LB Said
2019 IEEE Congress on Evolutionary Computation (CEC), 2323-2330, 2019
42019
An Evolutionary Multi-objective Approach for Coordinating Supplier–Producer Conflict in Lot Sizing
M Elarbi, C Elwadi, S Bechikh, Z Bahroun, LB Said
International Journal of Information Technology & Decision Making 21 (02 …, 2022
32022
A bi-level evolutionary approach for the multi-label detection of smelly classes
S Boutaib, M Elarbi, S Bechikh, F Palomba, LB Said
Proceedings of the genetic and evolutionary computation conference companion …, 2022
22022
A possibilistic evolutionary approach to handle the uncertainty of software metrics thresholds in code smells detection
S Boutaib, M Elarbi, S Bechikh, F Palomba, LB Said
2021 IEEE 21st International Conference on Software Quality, Reliability and …, 2021
22021
Evidential learning classifier system
C Abdelkarim, L Rejeb, LB Said, M Elarbi
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
22017
Handling uncertainty in SBSE: a possibilistic evolutionary approach for code smells detection
S Boutaib, M Elarbi, S Bechikh, F Palomba, LB Said
Empirical Software Engineering 27 (6), 124, 2022
12022
Interval-based Cost-sensitive Classification Tree Induction as a Bi-level Optimization Problem
R Said, M Elarbi, S Bechikh, CAC Coello, LB Said
2022 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2022
12022
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