Eye-Tracking Evolutionary Algorithm to minimize user's fatigue in IEC applied to Interactive One-Max problem - Archive ouverte HAL
Communication Dans Un Congrès Année : 2007

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

Résumé

In 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.
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Dates et versions

hal-00165139 , version 1 (21-03-2008)

Identifiants

Citer

Denis Pallez, Philippe Collard, Thierry Baccino, Laurent Dumercy. Eye-Tracking Evolutionary Algorithm to minimize user's fatigue in IEC applied to Interactive One-Max problem. GECCO '07: the 2007 GECCO conference companion on Genetic and evolutionary computation, Jul 2007, London, United Kingdom. pp.2883-2886, ⟨10.1145/1274000.1274098⟩. ⟨hal-00165139⟩
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