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Adaptive ECG Signal Filtering Using Bayesian Based Evolutionary Algorithm

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Metaheuristics for Medicine and Biology

Part of the book series: Studies in Computational Intelligence ((SCI,volume 704))

Abstract

Metaheuristics have been widely used to solve many different optimization problems, however, when the dimension of the problems increases the performance of theses algorithms decreases. This decrease of the performance limited the use of this approach, when the dimension is high, these problems are large scale problems. Many authors proposed several approaches to enhance the performance of the algorithms. The reader can see recent review papers as.

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Correspondence to Amir Nakib .

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Bernard, T., Nakib, A. (2017). Adaptive ECG Signal Filtering Using Bayesian Based Evolutionary Algorithm. In: Nakib, A., Talbi, EG. (eds) Metaheuristics for Medicine and Biology. Studies in Computational Intelligence, vol 704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-54428-0_11

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  • DOI: https://doi.org/10.1007/978-3-662-54428-0_11

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