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Computer Science

D-Index
32
Citations
3882
World Ranking
13233
National Ranking
841

Overview

Slim Bechikh is affiliated with the University of Carthage in Tunisia. Their research spans primarily the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Signal Processing, Information Systems, Radiology, Nuclear Medicine and Imaging, as well as Computer Vision and Pattern Recognition.

Their work covers a range of topics, notably:

  • Advanced Malware Detection Techniques
  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Anomaly Detection Techniques and Applications
  • Machine Learning and Data Classification
  • Software Engineering Research

Slim Bechikh has contributed to a number of recent papers, including:

  • "On the use of artificial malicious patterns for android malware detection", 2020, Computers & Security
  • "Deep convolutional neural network architecture design as a bi-level optimization problem", 2021, Neurocomputing
  • "Code smell detection and identification in imbalanced environments", 2020, Expert Systems with Applications
  • "Solving Combinatorial Multi-Objective Bi-Level Optimization Problems Using Multiple Populations and Migration Schemes", 2020, IEEE Access
  • "Android malware detection as a Bi-level problem", 2022, Computers & Security

Frequent co-authors collaborating with Slim Bechikh include:

  • Lamjed Ben Saïd
  • Maha Elarbi
  • Ali Louati
  • Hassen Louati
  • Sofien Boutaib

The scientist publishes regularly in several venues, with multiple publications in:

  • Neural Computing and Applications
  • Computers & Security
  • Neurocomputing
  • IEEE Access
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion

Best Publications

  • The r-Dominance: A New Dominance Relation for Interactive Evolutionary Multicriteria Decision Making

    Lamjed Ben Said;Slim Bechikh;Khaled Ghedira

  • Many-Objective Software Remodularization Using NSGA-III

    Wiem Mkaouer;Marouane Kessentini;Adnan Shaout;Patrice Koligheu

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

    Maha Elarbi;Slim Bechikh;Abhishek Gupta;Lamjed Ben Said

  • A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy

    Radhia Azzouz;Slim Bechikh;Lamjed Ben Said

  • A Cooperative Parallel Search-Based Software Engineering Approach for Code-Smells Detection

    Wael Kessentini;Marouane Kessentini;Houari A. Sahraoui;Slim Bechikh

  • Dynamic Multi-objective Optimization Using Evolutionary Algorithms: A Survey

    Radhia Azzouz;Slim Bechikh;Lamjed Ben Said

  • Recommendation system for software refactoring using innovization and interactive dynamic optimization

    Mohamed Wiem Mkaouer;Marouane Kessentini;Slim Bechikh;Kalyanmoy Deb

  • Searching for knee regions of the Pareto front using mobile reference points

    Slim Bechikh;Lamjed Ben Said;Khaled Ghédira

  • Code-Smell Detection as a Bilevel Problem

    Dilan Sahin;Marouane Kessentini;Slim Bechikh;Kalyanmoy Deb

  • High dimensional search-based software engineering: finding tradeoffs among 15 objectives for automating software refactoring using NSGA-III

    Mohamed Wiem Mkaouer;Marouane Kessentini;Slim Bechikh;Kalyanmoy Deb

  • Chapter Four – Preference Incorporation in Evolutionary Multiobjective Optimization: A Survey of the State-of-the-Art

    Slim Bechikh;Marouane Kessentini;Lamjed Ben Said;Khaled Ghédira

  • On the use of many quality attributes for software refactoring: a many-objective search-based software engineering approach

    Mohamed Wiem Mkaouer;Marouane Kessentini;Slim Bechikh;Mel Oź CinneźIde

  • An Efficient Chemical Reaction Optimization Algorithm for Multiobjective Optimization

    Slim Bechikh;Abir Chaabani;Lamjed Ben Said

  • Many-Objective Software Remodularization using NSGA-III

    Mohamed Wiem Mkaouer;Marouane Kessentini;Adnan Shaout;Patrice Koligheu

  • Many-objective Optimization Using Evolutionary Algorithms: A Survey

    Slim Bechikh;Maha Elarbi;Lamjed Ben Said

  • Prioritizing code-smells correction tasks using chemical reaction optimization

    Ali Ouni;Marouane Kessentini;Slim Bechikh;Houari Sahraoui

  • On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring

    Boukhdhir Amal;Marouane Kessentini;Slim Bechikh;Josselin Dea

  • Recent Advances in Evolutionary Multi-objective Optimization

    Slim Bechikh;Rituparna Datta;Abhishek Gupta

  • Competitive Coevolutionary Code-Smells Detection

    Mohamed Boussaa;Wael Kessentini;Marouane Kessentini;Slim Bechikh

  • Searching for knee regions in multi-objective optimization using mobile reference points

    Slim Bechikh;Lamjed Ben Said;Khaled Ghédira

  • Multi-objective Optimization with Dynamic Constraints and Objectives: New Challenges for Evolutionary Algorithms

    Radhia Azzouz;Slim Bechikh;Lamjed Ben Said

  • On the use of artificial malicious patterns for android malware detection

    Manel Jerbi;Zaineb Chelly Dagdia;Zaineb Chelly Dagdia;Slim Bechikh;Lamjed Ben Said

Frequent Co-Authors

Marouane Kessentini
Marouane Kessentini University of Michigan–Ann Arbor
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Ali Ouni
Ali Ouni École de Technologie Supérieure
Manuel Wimmer
Manuel Wimmer Johannes Kepler University of Linz
Houari Sahraoui
Houari Sahraoui University of Montreal
Fabio Palomba
Fabio Palomba University of Salerno
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University

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