Robust and Efficient Multi-objective Automatic Adjustment for Optical Axes in Laser Systems Using Stochastic Binary Search Algorithm

  • Nobuharu Murata
  • Hirokazu Nosato
  • Tatsumi Furuya
  • Masahiro Murakawa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4684)


The adjustment of optical axes is crucial for laser systems. We have previously proposed an automatic adjustment method using genetic algorithms to adjust the optical axes. However, there were still two problems that needed to be solved: (1)long adjustment times, and (2)adjustment precision due to observation noise. In order to solve these tasks, we propose a robust and efficient automatic multi-objective adjustment method using stochastic binary search algorithm. Adjustment experiments for optical axes with 4-DOF in noisy environment demonstrate that the proposed method can robustly adjust the positioning and the angle of the optical axes in about 12 minutes.


optical axes automatic adjustment stochastic binary search multi-objective optimization noisy environment 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Nobuharu Murata
    • 1
  • Hirokazu Nosato
    • 2
  • Tatsumi Furuya
    • 1
  • Masahiro Murakawa
    • 2
  1. 1.Graduate School of Toho University, 2-2-1 Miyama, Funabashi, ChibaJapan
  2. 2.National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba, IbarakiJapan

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