A multi-objective memetic algorithm for intelligent feature extraction

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A multi-objective memetic algorithm for intelligent feature extraction

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

Lecture Notes in Computer Science 2005

Abstract : This paper presents a methodology to generate representations for isolated handwritten symbols, modeled as a multi-objective optimization problem. We detail the methodology, coding domain knowledge into a genetic based representation. With the help of a model on the domain of handwritten digits, we verify the problematic issues and propose a hybrid optimization algorithm, adapted to needs of this problem. A set of tests validates the optimization algorithm and parameter settings in the model’s context. The results are encouraging, as the optimized solutions outperform the human expert approach on a known problem. © Springer-Verlag Berlin Heidelberg 2005.

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