Eye-Tracking Evolutionary Algorithm to minimize user's fatigue in IEC applied to Interactive One-Max problem
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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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Consulte el texto completo en el siguiente enlace:
https://arxiv.org/abs/0803.3192
http://arxiv.org/abs/0803.3192
Dans 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)
doi:10.1145/1274000.1274098
http://arxiv.org/abs/0803.3192
Dans 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)
doi:10.1145/1274000.1274098