Abstract
There are a number of conventional studies for accelerating the convergence speed and reducing IEC user's fatigue through the learning of IEC user's evaluation characteristics. Since IEC users can evaluate a limited number of individuals, the number of evaluations is often not enough for learning the characteristics of user evaluation. To address this problem, this paper proposes a method in which the characteristics of multi-IEC users are used as a substitution for a single IEC user. The evaluation values of IEC users are observed in each generation to mimic subsequent evaluations. For the mimicking process, the distance between the characteristics of an individual IEC user and other users are calculated and the most similar users' characteristics are taken for evaluating many individuals. We evaluate the method using functions instead of IEC users. Distinct groups of functions, which have different intervals from the pseudo-IEC user, are used to mimic characteristics of the further users. The speed of IEC convergence for each group is then compared to the conventional method. The result shows that the proposed method can accelerate the convergence of IEC when the characteristics of other user evaluations are similar to the pseudo-IEC user.
