@inproceedings{9a87f8c49b654134b609ad5bafeb2678,
title = "Localization of freeform surface workpiece with particle swarm optimization algorithm",
abstract = "A localization method for freeform surface workpiece with particle swarm optimization (PSO) algorithm is proposed in this paper. This study is the first attempt to use PSO as a matching algorithm in localization based on in situ measuring technology. The performance of the algorithm is studied by a set of simulations and optimal parameters settings are given. To test the performance of PSO and compare it with the classical Iterative Closest Point (ICP) algorithm, a blade model and a free-form surface model are used in this study. Simulation results show that PSO with the proposed parameter settings is appropriate to the localization of different freeform surface workpieces with high accuracy and not dependent on pre-localization condition. This study proves that PSO is a new effective algorithm for the localization of freeform surface workpiece because of its advantage of high global search ability over most existing algorithms.",
keywords = "localization, matching algorithm, parameter settings, particle swarm optimization",
author = "Ce Han and Dinghua Zhang and Baohai Wu and Kun Pu and Ming Luo",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Conference on Innovative Design and Manufacturing, ICIDM 2014 ; Conference date: 13-08-2014 Through 15-08-2014",
year = "2014",
month = sep,
day = "26",
doi = "10.1109/IDAM.2014.6912669",
language = "英语",
series = "Proceedings of the 2014 International Conference on Innovative Design and Manufacturing, ICIDM 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "47--52",
editor = "Yong Zeng and Yong Chen and Yong Chen and Sofiane Achiche and Weiming Shen and Anjali Awasthi and Chih-Hsing Chu and Caterina Rizzi and Chun Wang",
booktitle = "Proceedings of the 2014 International Conference on Innovative Design and Manufacturing, ICIDM 2014",
}