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2005 | OriginalPaper | Chapter
A Multi-objective Memetic Algorithm for Intelligent Feature Extraction
Authors : Paulo V. W. Radtke, Tony Wong, Robert Sabourin
Published in: Evolutionary Multi-Criterion Optimization
Publisher: Springer Berlin Heidelberg
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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.