Abstract
Software visualization is an area of computer science devoted to supporting the understanding and effective use of algorithms. The application of software visualization to Evolutionary Computation has been receiving increasing attention during the last few years. In this paper we apply visualization technique to an evolutionary algorithm for multilayer perceptron training. Our goal is to better understand its internal behavior in order to improve the evolutionary part of the method. As a result of applying this this technique several deficiencies in the method have been discovered.
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CITATION STYLE
Romero, G., Arenas, M. G., Castellano, J. G., Castillo, P. A., Carpio, J., Merelo, J. J., … Rivas, V. (2000). Evolutionary computation visualization: Application to G-PROP. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1917, pp. 902–912). Springer Verlag. https://doi.org/10.1007/3-540-45356-3_88
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