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Signal synthesis by means of evolutionary algorithms

Jaafar, Amine and Sareni, Bruno and Roboam, Xavier Signal synthesis by means of evolutionary algorithms. (2012) Inverse Problems in Science and Engineering, 20 (1). 93-104. ISSN 1741-5977

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Official URL: http://dx.doi.org/10.1080/17415977.2011.624619


In this article, we investigate a procedure for generating signals with genetic algorithms. Signals are obtained from elementary patterns characterized by different degrees of freedom. These patterns are repeated and combined in order to reach specific signal shapes. The whole signal parametrization has to be determined by solving a difficult inverse problem of high dimensionality and strong multimodality. This can be carried out using evolutionary algorithms with the aim of finding all pattern configurations in the signal. The different signal synthesis schemes are evaluated, tested and applied to the generation of particular railway driving profiles.

Item Type:Article
Additional Information:Thanks to Taylor & Francis editors. This publication is available at http://www.tandfonline.com/toc/gipe20/20/1. Special Issue: Selected papers from the 11th International Workshop on Optimization and Inverse Problems in Electromagnetism - OIPE 2010, 14-18 September 2010, Sofia, Bulgaria
HAL Id:hal-00760938
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Laboratory name:
Deposited On:04 Dec 2012 14:52

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