Maha Elarbi

Orcid: 0000-0002-7220-9474

According to our database1, Maha Elarbi authored at least 22 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Discretization-Based Feature Selection as a Bilevel Optimization Problem.
IEEE Trans. Evol. Comput., 2023

2022
Solving combinatorial bi-level optimization problems using multiple populations and migration schemes.
Oper. Res., 2022

An Evolutionary Multi-objective Approach for Coordinating Supplier-Producer Conflict in Lot Sizing.
Int. J. Inf. Technol. Decis. Mak., 2022

Handling uncertainty in SBSE: a possibilistic evolutionary approach for code smells detection.
Empir. Softw. Eng., 2022

Uncertainty-wise software anti-patterns detection: A possibilistic evolutionary machine learning approach.
Appl. Soft Comput., 2022

Cost-sensitive classification tree induction as a bi-level optimization problem.
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.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
On the importance of isolated infeasible solutions in the many-objective constrained NSGA-III.
Knowl. Based Syst., 2021

Code smell detection and identification in imbalanced environments.
Expert Syst. Appl., 2021

A Possibilistic Evolutionary Approach to Handle the Uncertainty of Software Metrics Thresholds in Code Smells Detection.
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.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021

Software Anti-patterns Detection Under Uncertainty Using a Possibilistic Evolutionary Approach.
Proceedings of the Genetic Programming - 24th European Conference, 2021

2020
Approximating Complex Pareto Fronts With Predefined Normal-Boundary Intersection Directions.
IEEE Trans. Evol. Comput., 2020

2019
A Hybrid Evolutionary Algorithm with Heuristic Mutation for Multi-objective Bi-clustering.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A New Decomposition-Based NSGA-II for Many-Objective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2018

2017
On the importance of isolated solutions in constrained decomposition-based many-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Evidential learning classifier system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Practical Applications in Constrained Evolutionary Multi-objective Optimization.
Proceedings of the Recent Advances in Evolutionary Multi-objective Optimization, 2017

Multi-objective Optimization: Classical and Evolutionary Approaches.
Proceedings of the Recent Advances in Evolutionary Multi-objective Optimization, 2017

Many-objective Optimization Using Evolutionary Algorithms: A Survey.
Proceedings of the Recent Advances in Evolutionary Multi-objective Optimization, 2017

2016
Solving many-objective problems using targeted search directions.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016


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