id: 05642429
dt: j
an: 05642429
au: Machado, J.A.Tenreiro
ti: Calculation of fractional derivatives of noisy data with genetic
    algorithms.
so: Nonlinear Dyn. 57, No. 1-2, 253-260 (2009).
py: 2009
pu: Springer, Dordrecht
la: EN
cc: 
ut: fractional derivatives; fractional calculus; genetic algorithms; numerical
    differentiation
ci: 
li: doi:10.1007/s11071-008-9436-1
ab: Summary: This paper addresses the calculation of derivatives of fractional
    order for non-smooth data. The noise is avoided by adopting an
    optimization formulation using genetic algorithms (GA). Given the
    flexibility of the evolutionary schemes, a hierarchical GA composed by
    a series of two GAs, each one with a distinct fitness function, is
    established.
rv: