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  1. No Access

    Article

    Solving combinatorial bi-level optimization problems using multiple populations and migration schemes

    In many decision making cases, we may have a hierarchical situation between different optimization tasks. For instance, in production scheduling, the evaluation of the tasks assignment to a machine requires th...

    Rihab Said, Maha Elarbi, Slim Bechikh, Lamjed Ben Said in Operational Research (2022)

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    Article

    Handling uncertainty in SBSE: a possibilistic evolutionary approach for code smells detection

    Code smells, also known as anti-patterns, are poor design or implementation choices that hinder program comprehensibility and maintainability. While several code smell detection methods have been proposed, Man...

    Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba… in Empirical Software Engineering (2022)

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    Chapter and Conference Paper

    Software Anti-patterns Detection Under Uncertainty Using a Possibilistic Evolutionary Approach

    Code smells (a.k.a. anti-patterns) are manifestations of poor design solutions that could deteriorate the software maintainability and evolution. Despite the high number of existing detection methods, the issu...

    Sofien Boutaib, Maha Elarbi, Slim Bechikh, Chih-Cheng Hung… in Genetic Programming (2021)

  4. No Access

    Chapter

    Multi-objective Optimization: Classical and Evolutionary Approaches

    Problems involving multiple conflicting objectives arise in most real world optimization problems. Evolutionary Algorithms (EAs) have gained a wide interest and success in solving problems of this nature for t...

    Maha Elarbi, Slim Bechikh, Lamjed Ben Said… in Recent Advances in Evolutionary Multi-obje… (2017)

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    Chapter

    Many-objective Optimization Using Evolutionary Algorithms: A Survey

    Multi-objective Evolutionary Algorithms (MOEAs) have proven their effectiveness and efficiency in solving complex problems with two or three objectives. However, recent studies have shown that the performance ...

    Slim Bechikh, Maha Elarbi, Lamjed Ben Said in Recent Advances in Evolutionary Multi-obje… (2017)

  6. No Access

    Chapter

    Practical Applications in Constrained Evolutionary Multi-objective Optimization

    Constrained optimization is applicable to most real world engineering science problems. An efficient constraint handling method must be robust, reliable and computationally efficient. However, the performance ...

    Arun Kumar Sharma, Rituparna Datta… in Recent Advances in Evolutionary Multi-obje… (2017)