Abstract
Particle Swarm Optimization (PSO) is faster than Genetic Algorithm while GA obtains global convergence more easily than PSO in application of wave-front correction. Basic PSO is improved by using of selection, crossover, and mutation operator of GA. An adaptive optics (AO) system based on improved PSO (IPSO) is simulated to correct the distorted wave-front. The system is composed of a 61-element deformable mirror (DM) and an imaging system. IPSO is used to generate control signals for actuators of DM according to the information of imaging system. We investigate the effectiveness and the convergence speed of IPSO using two different distorted wave-fronts by comparing PSO, GA and IPSO. Simulation results show IPSO obtains the rapid convergence of PSO and the global convergence of GA, which justifies the method we offer in application of wave-front correction.
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© 2013 Springer-Verlag Berlin Heidelberg
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Yang, H., Li, Y. (2013). Wave-Front Correction Based on Improved Particle Swarm Optimization. In: Lu, W., Cai, G., Liu, W., Xing, W. (eds) Proceedings of the 2012 International Conference on Information Technology and Software Engineering. Lecture Notes in Electrical Engineering, vol 211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34522-7_45
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DOI: https://doi.org/10.1007/978-3-642-34522-7_45
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