Počet záznamů: 1

Combining Multiobjective and Single-Objective Genetic Algorithms in Heterogeneous Island Model

  1. 1.
    0358846 - UIVT-O 2012 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
    Pilát, M. - Neruda, Roman
    Combining Multiobjective and Single-Objective Genetic Algorithms in Heterogeneous Island Model.
    CEC 2010. Proceedings of the IEEE Congress on Evolutionary Computation. Piscataway: IEEE, 2010, s. 1-8. ISBN 978-1-4244-6910-9.
    [WCCI 2010. IEEE World Congress on Computational Intelligence. Barcelona (ES), 18.07.2010-23.07.2010]
    Grant CEP: GA MŠk OC10047
    Výzkumný záměr: CEZ:AV0Z10300504
    Klíčová slova: multiobjective optimization * single-objective optimization * genetic algorithms * island model * hybrid model
    Kód oboru RIV: IN - Informatika

    The majority of multiobjective genetic algorithms is computationally expensive, therefore they often need to be parallelized before they can be used to solve practical tasks. Parallelization of multiobjective genetic algorithms is a relatively studied area, but no clearly winning approach has appeared yet. In this paper we present a novel parallel hybrid algorithm which combines multiobjective and single-objective genetic algorithms. We how that this algorithm can be successfully used to solve multiobjective optimization problems while outperforming more traditional parallel versions of multiobjective genetic algorithms.
    Trvalý link: http://hdl.handle.net/11104/0196771