id: 02040671
dt: a
an: 02040671
au: Xiao, Ningchuan; Armstrong, Marc P.
ti: A specialized island model and its application in multiobjective
    optimization.
so: Cantú-Paz, Erick (ed.) et al., Genetic and evolutionary computation ‒
    GECCO 2003. Genetic and evolutionary computation conference, Chicago,
    IL, USA, July 12‒16, 2003. Proceedings, Part II. Berlin: Springer
    (ISBN 3-540-40603-4/pbk). Lect. Notes Comput. Sci. 2724, 1530-1540
    (2003).
py: 2003
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: http://link.springer.de/link/service/series/0558/bibs/2724/27241530.htm
ab: Summary: This paper discusses a new model of parallel evolutionary
    algorithms (EAs) called the specialized island model (SIM) that can be
    used to generate a set of diverse non-dominated solutions to
    multiobjective optimization problems. This model is derived from the
    island model, in which an EA is divided into several subEAs that
    exchange individuals among them. In SIM, each subEA is responsible
    (i.e., specialized) for optimizing a subset of the objective functions
    in the original problem. The efficacy of SIM is demonstrated using a
    three-objective optimization problem. Seven scenarios of the model with
    a different number of subEAs, communication topology, and
    specialization are tested, and their results are compared. The results
    suggest that SIM effectively finds non-dominated solutions to
    multiobjective optimization problems.
rv: