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Proceedings Paper

Autonomous photogrammetric network design based on changing environment genetic algorithms
Author(s): Jian Yang; Nai-Guang Lu; Mingli Dong
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Paper Abstract

In order to get good accuracy, designer used to consider how to place cameras. Usually, cameras placement design is a multidimensional optimal problem, so people used genetic algorithms to solve it. But genetic algorithms could result in premature or convergent problem. Sometime we get local minimum and observe vibrating phenomenon. Those will get inaccurate design. So we try to solve the problem using the changing environment genetic algorithms. The work proposes giving those species groups difference environment during difference stage to improve the property. Computer simulation result shows the acceleration in convergent speed and ability of selecting good individual. This work would be used in other application.

Paper Details

Date Published: 13 October 2008
PDF: 7 pages
Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 712902 (13 October 2008); doi: 10.1117/12.807364
Show Author Affiliations
Jian Yang, Beijing Univ. of Posts and Telecommunications (China)
Beijing Institute of Machinery (China)
Nai-Guang Lu, Beijing Institute of Machinery (China)
Beijing Univ. of Posts and Telecommunications (China)
Mingli Dong, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 7129:
Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration
Jiancheng Fang; Zhongyu Wang, Editor(s)

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