Using the RRT algorithm to optimize classification systems for handwritten digits and letters

Using the RRT algorithm to optimize classification systems for handwritten digits and letters

Radtke, Paulo V.W. and Sabourin, Robert and Wong, Tony

Proceedings of the ACM Symposium on Applied Computing 2008

Abstract : Multi-objective genetic algorithms have been often used to optimize classification systems, but little is discussed on their computational cost to solve such problems. This paper optimizes a classification system with an annealing based approach, the Record-toRecord Travel algorithm. Results obtained are compared to those obtained with a multi-objective genetic algorithm in the same approach. Experiments are performed with isolated handwritten digits and uppercase letters, demonstrating both the effectiveness and lower computational cost of the annealing based approach. Copyright 2008 ACM.