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REPARTI

MIVIM

Evolutionary Algorithms Applied to Pattern Recognition and Optical Design
Ph.D.
Christian Gagné
Marc Parizeau (Supervisor)
Problem: The inefficiency of traditionnal approaches to solve some hard problems in the domain of pattern recognition and computer vision.
Motivation: Explore the possibility of Evolutionary Algorithms (EA) to solve this type of problems.
Challenges: Develop a C++ EA framework that is versatile, easy to use and robust. Demonstrate applicability of EA, particularly genetic programming, to the solving of hard problems in the areas of pattern recognition and optical design.
Calendar: September 2002 - May 2005
Support: FQRNT and NSERC scholarships
Web reference: http://beagle.gel.ulaval.ca
Last modification: Sep 28 2007 1:51PM by cgagne

     
   
   

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