VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune System

Luis Marti 1 Arsene Fansi-Tchango 2 Laurent Navarro 2 Marc Schoenauer 3, 1
1 TAO - Machine Learning and Optimisation
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : This paper introduces the Voronoi diagram-based Artificial Immune System (VorAIS). VorAIS models the self/non-self using a Voronoi diagram that determines which areas of the problem domain correspond to self or to non-self. The diagram is evolved using a multi-objective bio-inspired approach in order to conjointly optimize various classification metrics (accuracy, recall and specificity). VorAIS is experimentally validated, first on standard classification problems , then on the well-known NSL-KDD dataset for anomaly detection where it favorably compares with other AIS approaches .
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Poster communications
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https://hal.inria.fr/hal-01400263
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Submitted on : Tuesday, December 20, 2016 - 7:35:00 PM
Last modification on : Monday, December 9, 2019 - 5:24:07 PM
Long-term archiving on: Tuesday, March 21, 2017 - 1:22:44 PM

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Luis Marti, Arsene Fansi-Tchango, Laurent Navarro, Marc Schoenauer. VorAIS: A Multi-Objective Voronoi Diagram-based Artificial Immune System . T. Friedrich and F. Neumann. Genetic and Evolutionary Computation Conference, GECCO 2016, Jul 2016, Denver, United States. pp.11 - 12, 2016, Poster at GECCO 2016 (Companion). ⟨10.1145/2908961.2909027⟩. ⟨hal-01400263⟩

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