Abstract
In this paper, we propose a stochastic binary search algorithm utilizing weighted averaged evaluation value calculated from search history. By applying the proposed method to adjustment of the positioning and angle of the optical axes, we quantitatively verify that the proposed method can drastically reduce adjustment time and improve the precision of adjustment. Adjustment time can be reduced by the stochastic binary search algorithm and the precision of adjustment can be improved by adopting the weighted averaged evaluation value calculated from search history. Adjustment experiments with the proposed method demonstrate that the proposed method was able to reduce the adjustment time from 3 hours to 12 minutes and to adjust the positioning and angle of the optical axes robustly in noisy environments.
