| Evolutionary Algorithms Applied to Pattern Recognition and Optical Design |
| Ph.D. |
| Christian Gagné |
| Marc Parizeau (Supervisor) |
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| Problem: The inefficiency of traditionnal approaches to solve some hard problems in the domain of pattern recognition and computer vision.
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| Motivation: Explore the possibility of Evolutionary Algorithms (EA) to solve this type of problems.
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| 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. |
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| Calendar: September 2002 - May 2005 |
| Support: FQRNT and NSERC scholarships |
| Web reference: http://beagle.gel.ulaval.ca |
| Last modification: 2007/09/28 by cgagne |
