Slim Bechikh

Orcid: 0000-0003-1378-7415

Affiliations:
  • University of Carthage, FSEG-Nabeul, Tunisia


According to our database1, Slim Bechikh authored at least 98 papers between 2008 and 2024.

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Bibliography

2024
Many-objective optimization of wireless sensor network deployment.
Evol. Intell., April, 2024

Joint filter and channel pruning of convolutional neural networks as a bi-level optimization problem.
Memetic Comput., March, 2024

Dynamic Job Shop Scheduling Problem With New Job Arrivals Using Hybrid Genetic Algorithm.
IEEE Access, 2024

A Self-learning Particle Swarm Optimization Algorithm for Dynamic Job Shop Scheduling Problem with New Jobs Insertion.
Proceedings of the Advances in Swarm Intelligence, 2024

A Bi-Level Evolutionary Model Tree Induction Approach for Regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Embedding channel pruning within the CNN architecture design using a bi-level evolutionary approach.
J. Supercomput., September, 2023

Imbalanced multi-label data classification as a bi-level optimization problem: application to miRNA-related diseases diagnosis.
Neural Comput. Appl., August, 2023

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

Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm and Transfer Learning.
Proceedings of the Advances in Computational Collective Intelligence, 2023

A Hybrid Evolutionary Approach with Group-Based Solution Encoding for Solving the Constrained Bilevel Multi-Depot Vehicle Routing Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Solving the Discretization-based Feature Construction Problem using Bi-level Evolutionary Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Immune-Based System to Enhance Malware Detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

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

Joint design and compression of convolutional neural networks as a Bi-level optimization problem.
Neural Comput. Appl., 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

Android malware detection as a Bi-level problem.
Comput. Secur., 2022

Topology optimization search of deep convolution neural networks for CT and X-ray image classification.
BMC Medical Imaging, 2022

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

Evolutionary Optimization for CNN Compression Using Thoracic X-Ray Image Classification.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

Design and Compression Study for Convolutional Neural Networks Based on Evolutionary Optimization for Thoracic X-Ray Image Classification.
Proceedings of the Computational Collective Intelligence - 14th International Conference, 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

Malware Evolution and Detection Based on the Variable Precision Rough Set Model.
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 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

Deep convolutional neural network architecture design as a bi-level optimization problem.
Neurocomputing, 2021

Evolutionary multi-objective optimisation: a bibliometric study.
Int. J. Math. Oper. Res., 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

Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 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

Malware Detection Using Rough Set Based Evolutionary Optimization.
Proceedings of the Neural Information Processing - 28th International Conference, 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

A co-evolutionary hybrid decomposition-based algorithm for bi-level combinatorial optimization problems.
Soft Comput., 2020

Feature construction as a bi-level optimization problem.
Neural Comput. Appl., 2020

On the use of artificial malicious patterns for android malware detection.
Comput. Secur., 2020

Solving Combinatorial Multi-Objective Bi-Level Optimization Problems Using Multiple Populations and Migration Schemes.
IEEE Access, 2020

Multi-Agent Cooperation for an Active Perception Based on Driving Behavior: Application in a Car-Following Behavior.
Appl. Artif. Intell., 2020

Class-Dependent Weighted Feature Selection as a Bi-Level Optimization Problem.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Handling uncertainty in code smells detection using a possibilistic SBSE approach.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Class Dependent Feature Construction as a Bi-level optimization Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Multi-objective evolution of oblique decision trees for imbalanced data binary classification.
Swarm Evol. Comput., 2019

A Multi-objective hybrid filter-wrapper evolutionary approach for feature selection.
Memetic Comput., 2019

Bi-level Decision-making Modeling for an Autonomous Driver Agent: Application in the Car-following Driving Behavior.
Appl. Artif. Intell., 2019

A Constrained Box Algorithm for Imbalanced Data in Satellite Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Weighted-Features Construction as a Bi-level Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 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

A Fuzzy Logic-Based Anticipation Car-Following Model.
Trans. Comput. Collect. Intell., 2018

Advances in Evolutionary Multi-objective Optimization.
Swarm Evol. Comput., 2018

Handling time-varying constraints and objectives in dynamic evolutionary multi-objective optimization.
Swarm Evol. Comput., 2018

A new co-evolutionary decomposition-based algorithm for bi-level combinatorial optimization.
Appl. Intell., 2018

Clustering algorithms on imbalanced data using the SMOTE technique for image segmentation.
Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems, 2018

A Multi-Objective Hybrid Filter-Wrapper Evolutionary Approach for Feature Construction on High-Dimensional Data.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy.
Soft Comput., 2017

A Co-evolutionary Decomposition-based Chemical Reaction Algorithm for Bi-level Combinatorial Optimization Problems.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

Bi-MOCK: A Multi-objective Evolutionary Algorithm for Bi-clustering with Automatic Determination of the Number of Bi-clusters.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

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

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

2016
On the use of many quality attributes for software refactoring: a many-objective search-based software engineering approach.
Empir. Softw. Eng., 2016

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

Leveraging evolutionary algorithms for dynamic multi-objective optimization scheduling of multi-tenant smart home appliances.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A memetic evolutionary algorithm for bi-level combinatorial optimization: A realization between Bi-MDVRP and Bi-CVRP.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Many-Objective Software Remodularization Using NSGA-III.
ACM Trans. Softw. Eng. Methodol., 2015

An Efficient Chemical Reaction Optimization Algorithm for Multiobjective Optimization.
IEEE Trans. Cybern., 2015

Prioritizing code-smells correction tasks using chemical reaction optimization.
Softw. Qual. J., 2015

MOMM: Multi-objective model merging.
J. Syst. Softw., 2015

Chapter Four - Preference Incorporation in Evolutionary Multiobjective Optimization: A Survey of the State-of-the-Art.
Adv. Comput., 2015

An Improved Co-evolutionary Decomposition-based Algorithm for Bi-level Combinatorial Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Multi-objective Optimization with Dynamic Constraints and Objectives: New Challenges for Evolutionary Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

A Co-Evolutionary Decomposition-based Algorithm for Bi-Level combinatorial Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
A Cooperative Parallel Search-Based Software Engineering Approach for Code-Smells Detection.
IEEE Trans. Software Eng., 2014

Code-Smell Detection as a Bilevel Problem.
ACM Trans. Softw. Eng. Methodol., 2014

Search-based metamodel matching with structural and syntactic measures.
J. Syst. Softw., 2014

A Robust Multi-objective Approach for Software Refactoring under Uncertainty.
Proceedings of the Search-Based Software Engineering - 6th International Symposium, 2014

On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring.
Proceedings of the Search-Based Software Engineering - 6th International Symposium, 2014

Recommendation system for software refactoring using innovization and interactive dynamic optimization.
Proceedings of the ACM/IEEE International Conference on Automated Software Engineering, 2014

High dimensional search-based software engineering: finding tradeoffs among 15 objectives for automating software refactoring using NSGA-III.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Software refactoring under uncertainty: a robust multi-objective approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

An indicator-based chemical reaction optimization algorithm for multi-objective search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Steady state IBEA assisted by MLP neural networks for expensive multi-objective optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A Multiple Reference Point-based evolutionary algorithm for dynamic multi-objective optimization with undetectable changes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Preference-Based Many-Objective Evolutionary Testing Generates Harder Test Cases for Autonomous Agents.
Proceedings of the Search Based Software Engineering - 5th International Symposium, 2013

Competitive Coevolutionary Code-Smells Detection.
Proceedings of the Search Based Software Engineering - 5th International Symposium, 2013

On the Influence of the Number of Objectives in Evolutionary Autonomous Software Agent Testing.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Preference-based multi-objective software modelling.
Proceedings of the 1st International Workshop on Combining Modelling and Search-Based Software Engineering, 2013

2012
Articulating Decision Maker's Preference Information within Multiobjective Artificial Immune Systems.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011
Searching for knee regions of the Pareto front using mobile reference points.
Soft Comput., 2011

Negotiating decision makers' reference points for group preference-based Evolutionary Multi-objective Optimization.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

2010
The r-Dominance: A New Dominance Relation for Interactive Evolutionary Multicriteria Decision Making.
IEEE Trans. Evol. Comput., 2010

Searching for knee regions in multi-objective optimization using mobile reference points.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Estimating nadir point in multi-objective optimization using mobile reference points.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2008
PHC-NSGA-II: A Novel Multi-objective Memetic Algorithm for Continuous Optimization.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008


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