Evolutionary algorithms have been applied to function identification problems with great success. This paper presents an approach in which the individuals represent a partition of the input space in Voronoi regions together with a set of local functions associated to each one of these regions. In this way, the solution corresponds to a combination of local functions over a spatial structure topologically represented by a Voronoi diagram. Experiments show that the evolutionary algorithm can successfully evolve both the partition of the input space and the parameters of the local functions in simple problems. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Kavka, C., & Schoenauer, M. (2003). Voronoi diagrams based function identification. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2723, 1089–1100. https://doi.org/10.1007/3-540-45105-6_118
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