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Laboratoire d'InfoRmatique en Image et Systèmes d'information

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Laboratoire d'InfoRmatique en Image et Systèmes d'information
UMR 5205 CNRS / INSA de Lyon / Université Claude Bernard Lyon 1 / Université Lumière Lyon 2 / École Centrale de Lyon
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Sergio Peignier

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PhD student

Team Artificial Evolution and Computational Biology
 
Institution Institut National des Sciences Appliquées de Lyon
Location INRIA Antenne Lyon La Doua
 
E-mail sergio.peignier at liris.cnrs.fr
Contact details Publications Thesis
 
Subject Bio Inspired data mining algorithms taking advantage of evolution of evolution
Abstract According to [Banzhaf et al. 2006], bio-inspired optimization algorithms could be improved by incorporating knowledge from molecular and evolutionary biology. A promising source of advances in optimization is one of the important phenomena in evolutionary biology : the dynamic evolution of the genome structure. Several studies showed for instance that an evolvable genome structure allows evolution to modify the effects that evolution operators (e.g., mutations) have on individuals, a phenomenon known as evolution of evolution [Hindré et al. 2012]. My thesis takes place within the european project EvoEvo (FP7 funding, http ://evoevo.eu/, ICT-610427) and aims to take advantage of evolution of evolution mechanisms to achieve data mining tasks on dynamic data sets.
Advisor Guillaume Beslon
Advisor Christophe Rigotti

Last update : 2016-03-07 14:29:19