@inproceedings{481e459e4c9d4d44ab64488093b08085,
title = "Applying chaotic particle swarm optimization to the template matching problem",
abstract = "An improved particle swarm optimization algorithm, CSPSO (Chaotic Species-based particle swarm optimization), is proposed for solving the template matching problem. Template matching is one of the image comparison techniques widely applied to component existence checking in the printed circuit board (PCB) and electronics assembly industries. The proposed approach adopts the special nonlinear characteristic and ergodicity of chaos to enrich the search ability of the species-based particle swarm optimization (SPSO). To test its performance, the proposed CSPSO-based approach is compared with SPSO-based approach using two experimental studies. The CSPSO-based approach is proven to be superior to the original SPSO-based one in term of efficiency.",
keywords = "Chaotic particle swarm optimization, PCB manufacture, Template matching",
author = "Chunho Wu and Na Dong and Waihung Ip and Zengqiang Chen and Yung, {Kai Leung}",
year = "2009",
month = dec,
day = "1",
doi = "10.1007/978-3-642-04843-2_44",
language = "English",
isbn = "3642048420",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "411--421",
booktitle = "Advances in Computation and Intelligence - 4th International Symposium, ISICA 2009, Proceedings",
note = "4th International Symposium on Intelligence Computation and Applications, ISICA 2009 ; Conference date: 23-10-2009 Through 25-10-2009",
}