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Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization

Vojtech Krmicek 1, 2 Michèle Sebag 1, 2
1 TANC - Algorithmic number theory for cryptology
Inria Saclay - Ile de France, LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]
Abstract : Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multi-modal optimization is proposed to formalize these data mining problems, and addressed through Evolutionary Computation (EC). The merits of EC for spatio-temporal data mining are demonstrated as the approach facilitates the modelling of the experts' requirements, and flexibly accommodates their changing goals.
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https://hal.inria.fr/inria-00116342
Contributor : Marc Schoenauer <>
Submitted on : Sunday, November 26, 2006 - 11:13:47 AM
Last modification on : Tuesday, April 21, 2020 - 1:07:08 AM
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Vojtech Krmicek, Michèle Sebag. Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization. PPSN'06, Sep 2006, Reykjavik, pp.382-391. ⟨inria-00116342⟩

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