OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

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, vol. 20 (n° 1). pp. 93-104. ISSN 1741-5977

[img]
Preview
(Document in English)

PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
764Kb

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

Abstract

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
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT
Université de Toulouse > Université Paul Sabatier-Toulouse III - UPS
Laboratory name:
Statistics:download
Deposited By:Bruno SARENI

Repository Staff Only: item control page