Calculation of fractional derivatives of noisy data with genetic algorithms
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...
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| Format: | article |
| Language: | eng |
| Published: |
2014
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| Online Access: | http://hdl.handle.net/10400.22/4314 |
| Country: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/4314 |
| 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. |
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