@inproceedings{65753e2bbe5f47e2a8faed167f9b63c0,
title = "Chaotic genetic algorithm for wavefront correction in adaptive optics",
abstract = "Chaotic genetic algorithm (CGA) is presented as an optimization algorithm for sensorless adaptive optics system to compensate atmospheric wave aberration. Chaos search strategy is incorporated into standard genetic algorithm by the logistic function that possess convergent, bifurcating, and chaotic characteristics during evolution to control the convergence of genetic algorithm. A real number encoding method is adopted in the search process and CGA is used to control a 61-actuator deformable membrane mirror (DM).The algorithm uses light intensity detected on the focal plane as the objective function to optimize, and the simulation results show CGAperforms faster than GA and thus can effectively be used in AO systems.",
keywords = "Adaptive optics, Chaos theory, Deformable mirror, Genetic algorithm, Zernike polynomial",
author = "Stephen Kotiang and Choi, \{Jae Ho\}",
note = "Publisher Copyright: {\textcopyright} (2014) Trans Tech Publications, Switzerland.; 3rd International Conference on Electronics, Mechatronics and Automation, ICEMA 2014 ; Conference date: 22-08-2014 Through 23-08-2014",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.666.293",
language = "English",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications Ltd",
pages = "293--297",
editor = "Maode Ma and Wu, \{Amanda F.\} and Z. Afrasiabi and Z. Afrasiabi and Maode Ma and Wu, \{Amanda F.\}",
booktitle = "Electronics, Mechatronics and Automation III",
}