• Optoelectronic Technology
  • Vol. 41, Issue 4, 274 (2021)
Zhijun XU1, Yateng WANG1, and Qilong XIONG1、2
Author Affiliations
  • 1Hefei Qingyi Photomask Ltd., Hefei,2300,CHN
  • 2Shenzhen Qingyi Photomask Ltd., Shenzhen Guangdong,518053,CHN
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    DOI: 10.19453/j.cnki.1005-488x.2021.04.006 Cite this Article
    Zhijun XU, Yateng WANG, Qilong XIONG. Research on Photomask Defects Path Optimization Based on Ant Colony Algorithm Mixed with 2⁃opt[J]. Optoelectronic Technology, 2021, 41(4): 274 Copy Citation Text show less

    Abstract

    To solve the long lens moving distance and lens defocusing when Laser Chemical Vapor Deposition(LCVD)equipment traces defect points in photomask defect repairing, a kind of ant colony optimization (ACO) algorithm mixed with 2-opt neighborhood search was proposed to optimize the sequence of defect coordinates. The method could effectively reduce the points tracing time and lens defocus rate, compared with the traditional ascending sequence of X or Y axis. To enhance the algorithm processing time in the case of large-scale defects, several acceleration tactics were applied in the ACO algorithm mixed with 2-opt neighborhood search, including nearest neighborhood searching tactic in ACO algorithm, fixed radius searching setting and “don’t look bits tactic” in 2-opt algorithm. The experimental results showed that the improved ACO algorithm mixed with 2-opt neighborhood search could reveal over 92.5% improvement than raw AOI distance, with only 5.72 s time consumption and 0.28% defocus rate. The improved algorithm demonstrates better performance in path optimization quality, optimization time and maintaining lens focusing than basic ACO and basic ACO mixed 2-opt algorithm.
    Zhijun XU, Yateng WANG, Qilong XIONG. Research on Photomask Defects Path Optimization Based on Ant Colony Algorithm Mixed with 2⁃opt[J]. Optoelectronic Technology, 2021, 41(4): 274
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