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Visual analysis of population scatterplots

Abstract : We investigate how visual analytic tools can deal with the huge amount of data produced during the run of an evolutionary algorithm. We show, on toy examples and on two real life problems, how a multidimensional data visualisation tool like ScatterDice/GraphDice can be easily used for analysing raw output data produced along the run of an evolutionary algorithm. Visual interpretation of population data is not used very often by the EA community for experimental analysis. We show here that this approach may yield additional high level information that is hardly accessible through conventional computation.
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Submitted on : Thursday, November 17, 2011 - 6:00:53 PM
Last modification on : Sunday, June 26, 2022 - 11:54:53 AM
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  • HAL Id : hal-00642307, version 1
  • PRODINRA : 244233


Evelyne Lutton, Julie Foucquier, Nathalie Perrot, Jean Louchet, Jean-Daniel Fekete. Visual analysis of population scatterplots. 10th Biannual International Conference on Artificial Evolution (EA-2011), Oct 2011, Angers, France. ⟨hal-00642307⟩



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