Eye-Tracking Evolutionary Algorithm to minimize user's fatigue in IEC
applied to Interactive One-Max problem
Annual Conference on Genetic and Evolutionary Computation (GECCO), 2007
Abstract
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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