Abstract
In this paper, two evolutionary algorithms for clustering in the domain of directed weighted graphs are proposed. Several genetic operators are analyzed with respect to maintaining the balance between exploration and exploitation properties. The approach is extensively tested on medium-sized random graphs.
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Kohout, J., Neruda, R. (2012). Exploration and Exploitation Operators for Genetic Graph Clustering Algorithm. In: Chen, L., Felfernig, A., Liu, J., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2012. Lecture Notes in Computer Science(), vol 7661. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34624-8_10
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DOI: https://doi.org/10.1007/978-3-642-34624-8_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34623-1
Online ISBN: 978-3-642-34624-8
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