Annealing based approach to optimize classification systems
Annealing based approach to optimize classification systems
Radtke, Paulo V.W. and Sabourin, Robert and Wong, Tony
IEEE International Conference on Neural Networks – Conference Proceedings 2007
Abstract : Classification systems optimization is often performed with population based genetic algorithms. These methods are known for their efficacy on solving these problems, but are associated to a high computational burden with classification systems. This paper evaluates an annealing based approach to optimize a classification system, and compares results obtained with a multi-objective genetic algorithm in the same problem. Experiments conducted with isolated handwritten digits demonstrate the effectiveness of the annealing based approach, which encourages further research in this direction. ©2007 IEEE.
