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L’IRIT étant localisé sur plusieurs sites, ses séminaires sont organisés et ont lieu soit à l’Université Toulouse 3 Paul Sabatier (UT3), l’Université Toulouse 1 Capitole (UT1), l’INP-ENSEEIHT ou l’Université Toulouse 2 Jean Jaurès (UT2J).


Cartesian Genetic Programming

Julian MILLER - Department of Electronics, University of York, UK

Vendredi 2 Décembre 2016, 12h30 - 14h00
Manufacture des tabacs, salle MQ 212 -
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Cartesian Genetic Programming (CGP) is a well-known form of automated problem solving known as Genetic Programming (GP). CGP was developed by Julian Miller in 1999.
It can be used to solve many kinds of computational problems. It uses a very simple integer address-based genetic representation of a program in the form of a directed graph. Graphs are very useful program representations and can be applied to many domains (e.g. electronic circuits, neural networks).

In a number of studies, CGP has been shown to be comparatively efficient to other GP techniques. It is also very simple to program. The classical form of CGP has undergone a number of developments which have made it  more useful, efficient and flexible in various ways. These include automatically defined functions (modular CGP),  self-modification operators (self-modifying CGP) and encoding artificial neural networks.