C.E. Andrade, M.G.C. Resende,
H.J. Karloff, and F.K.
Miyazawa
Proceedings of Sixteenth Annual Conference on Genetic and Evolutionary Computation (GECCO'14), pp. 405-412, ACM, New York, 2014.
ABSTRACT
In
Overlapping Correlation Clustering (OCC), a number of objects are assigned
to clusters. Two objects in the same cluster have correlated
characteristics. As opposed to traditional clustering where objects are
assigned to a single cluster, in OCC objects may be assigned to one or
more clusters. since an object can have characteristics that are
correlated with objects in more than one cluster. In this paper, we
present Biased Random-Key Genetic Algorithms for OCC. Computational
experiments are presented.
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Last modified: 23 July 2014