Eye-Tracking Evolutionary Algorithm to minimize user's fatigue in IEC applied to Interactive One-Max problem

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dc.creatorPallez, Denis
dc.creatorCollard, Philippe
dc.creatorBaccino, Thierry
dc.creatorDumercy, Laurent
dc.date2008-03-21
dc.date.accessioned2026-07-07T12:17:50Z
dc.date.available2026-07-07T12:17:50Z
dc.descriptionIn this paper, we describe a new algorithm that consists in combining an eye-tracker for minimizing the fatigue of a user during the evaluation process of Interactive Evolutionary Computation. The approach is then applied to the Interactive One-Max optimization problem.
dc.identifierhttps://arxiv.org/abs/0803.3192
dc.identifierhttp://arxiv.org/abs/0803.3192
dc.identifierDans Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO '07: the 2007 GECCO conference companion on Genetic and evolutionary computation, London : Royaume-Uni (2007)
dc.identifierdoi:10.1145/1274000.1274098
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212208
dc.subjectArtificial Intelligence
dc.titleEye-Tracking Evolutionary Algorithm to minimize user's fatigue in IEC applied to Interactive One-Max problem
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