id: 05978861
dt: a
an: 05978861
au: Yazdani, Hossein; Kwasnicka, Halina; Ortiz-Arroyo, Daniel
ti: Multiobjective particle swarm optimization using fuzzy logic.
so: Jędrzejowicz, Piotr (ed.) et al., Computational collective intelligence.
    Technologies and applications. Third international conference, ICCCI
    2011, Gdynia, Poland, September 21‒23, 2011. Proceedings, Part I.
    Berlin: Springer (ISBN 978-3-642-23934-2/pbk). Lecture Notes in
    Computer Science 6922. Lecture Notes in Artificial Intelligence,
    224-233 (2011).
py: 2011
pu: Berlin: Springer
la: EN
cc: 
ut: particle swarm optimization; fuzzy logic; multiobjective optimization
ci: 
li: doi:10.1007/978-3-642-23935-9_22
ab: Summary: The paper presents FMOPSO a multiobjective optimization method
    that uses a particle swarm optimization algorithm enhanced with a fuzzy
    logic based controller. Our implementation makes use of a number of
    fuzzy rules as well as dynamic membership functions to evaluate search
    spaces at each iteration. The method works based on Pareto dominance
    and was tested using standard benchmark data sets. Our results show
    that the proposed method is competitive with other approaches reported
    in the literature.
rv: