Evolutionary Multi-Criterion Optimization

  • De Smet Y
  • Eppe S
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Abstract

In this paper we address the question of multicriteria relational clustering. We develop a method that builds clusters and relations between these clusters on the basis of a binary outranking matrix. An extension of the k-means algorithm is presented and tested on artificial data sets. Finally, an example about the clustering of journals from the field of “Operations Research and Management Science” is illustrated.

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De Smet, Y., & Eppe, S. (2009). Evolutionary Multi-Criterion Optimization. (M. Ehrgott, C. M. Fonseca, X. Gandibleux, J.-K. Hao, & M. Sevaux, Eds.), Evolutionary Multi-Criterion Optimization (Vol. 5467, pp. 380–392). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-01020-0

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