DocumentCode :
2209067
Title :
Parallel differential evolutionary algorithms for physique states characterization in bioengineering
Author :
Manyri, L. ; Régis, S. ; Doncescu, A. ; Desachy, J. ; Urribelarea, JL
Author_Institution :
Lab. of Anal. & Archit. of Syst., Toulouse, France
fYear :
2003
fDate :
6-9 Oct. 2003
Firstpage :
213
Lastpage :
219
Abstract :
This paper presents a methodology to detect online the physiological state of strains in a bioreactor. The biologic reactions means that one of the pathways of the metabolism is activated and in this case the microorganisms will produce or will consummate the discrete-event system (DES) is synthesized applying the maximum of modulus of the wavelet transform on measured signals constrained to the biotechnologist expert validation. The determination of holder coefficient by differential evolutionary algorithms allows to make the difference between different discontinuities and to obtain the segmentation of the signals. All these evaluations lead to associate the signals variations during the time to physiological states.
Keywords :
biology computing; computational complexity; discrete event systems; evolutionary computation; parallel algorithms; signal processing; wavelet transforms; bioengineering computing; differential evolutionary algorithm; discrete-event system; genetic algorithm; parallel algorithm; physiological state characterization; signal processing; wavelet transform; Biomedical engineering; Biomedical measurements; Bioreactors; Biotechnology; Discrete wavelet transforms; Evolutionary computation; Fungi; Laboratories; Mathematical model; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing Workshops, 2003. Proceedings. 2003 International Conference on
ISSN :
1530-2016
Print_ISBN :
0-7695-2018-9
Type :
conf
DOI :
10.1109/ICPPW.2003.1240373
Filename :
1240373
Link To Document :
بازگشت