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Conference papers

Progressive Differential Evolution on Clustering Real World Problems

Vincent Berthier 1, 2
1 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : In this paper, we assess the performances of Differential Evolution on real-world clustering problems. To improve our results, we introduce Progressive Differential Evolution, a small modification of Differential Evolution which aims at optimizing a small number of parameters (eg. one cluster) at the beginning, and incrementally increase the number of optimized parameters.
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Submitted on : Thursday, October 15, 2015 - 7:07:57 AM
Last modification on : Thursday, July 8, 2021 - 3:46:39 AM
Long-term archiving on: : Thursday, April 27, 2017 - 4:41:32 AM


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  • HAL Id : hal-01215803, version 1


Vincent Berthier. Progressive Differential Evolution on Clustering Real World Problems. Artifical Evolution 2015, Oct 2015, Lyon, France. ⟨hal-01215803⟩



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