Calculation of fractional derivatives of noisy data with genetic algorithms

Machado, J. A. Tenreiro

http://hdl.handle.net/10400.22/4314

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Machado, J. A. Tenreiro

Abstract(s)

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.