id: 05842700
dt: j
an: 05842700
au: Liefooghe, Arnaud; Jourdan, Laetitia; Talbi, El-Ghazali
ti: A software framework based on a conceptual unified model for evolutionary
    multiobjective optimization: ParadisEO-MOEO.
so: Eur. J. Oper. Res. 209, No. 2, 104-112 (2011).
py: 2011
pu: Elsevier Science B.V.(North-Holland), Amsterdam
la: EN
cc: 
ut: multiple objective programming; evolutionary algorithms; conceptual unified
    model; algorithm design and implementation; software framework
ci: 
li: doi:10.1016/j.ejor.2010.07.023
ab: Summary: This paper presents a general-purpose software framework dedicated
    to the design and the implementation of evolutionary multiobjective
    optimization techniques: ParadisEO-MOEO. A concise overview of
    evolutionary algorithms for multiobjective optimization is given. A
    substantial number of methods has been proposed so far, and an attempt
    of conceptually unifying existing approaches is presented here. Based
    on a fine-grained decomposition and following the main issues of
    fitness assignment, diversity preservation and elitism, a conceptual
    model is proposed and is validated by regarding a number of
    state-of-the-art algorithms as simple variants of the same structure.
    This model is then incorporated into the ParadisEO-MOEO software
    framework. This framework has proven its validity and high flexibility
    by enabling the resolution of many academic, real-world and hard
    multiobjective optimization problems.
rv: