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    The Importance of Being Structured: a Comparative Study on Multi Stage Memetic Approaches 

    Caraffini, Fabio; Iacca, Giovanni; Neri, Ferrante; Mininno, Ernesto (IEEE, 2012-09)
    Memetic Computing (MC) is a discipline which studies optimization algorithms and sees them as structures of operators, the memes. Although the choice of memes is crucial for an effective algorithmic design, special attention ...
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    A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms 

    Iacca, Giovanni; Neri, Ferrante; Caraffini, Fabio; Suganthan, Ponnuthurai Nagaratnam (Springer Berlin Heidelberg, 2014-11)
    The ensemble structure is a computational intelligence supervised strategy consisting of a pool of multiple operators that compete among each other for being selected, and an adaptation mechanism that tends to reward the ...
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    Handling Non-Separability in Three Stage Memetic Exploration 

    Poikolainen, Ilpo; Caraffini, Fabio; Neri, Ferrante; Weber, Matthieu (2012-05)

    Multicriteria adaptive differential evolution for global numerical optimization 

    Cheng, Jixiang; Zhang, Gexiang; Caraffini, Fabio; Neri, Ferrante (IOS Press, 2015-02-01)
    Differential evolution (DE) has become a prevalent tool for global optimization problems since it was proposed in 1995. As usual, when applying DE to a specific problem, determining the most proper strategy and its associated ...
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    AuthorCaraffini, Fabio (4)Neri, Ferrante (4)Iacca, Giovanni (2)Cheng, Jixiang (1)Mininno, Ernesto (1)Poikolainen, Ilpo (1)Suganthan, Ponnuthurai Nagaratnam (1)Weber, Matthieu (1)Zhang, Gexiang (1)Subject
    Meta-heuristics (4)
    Optimisation (4)
    Memetic Computing (3)Adaptive algorithms (2)Differential evolution (2)Algorithmic design (1)Ensemble (1)Evolutionary computation (1)multicriteria adaptive systems (1)Separability (1)... View MoreDate Issued2012 (2)2014 (1)2015 (1)Has File(s)Yes (3)No (1)

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