Genetic Algorithm Phase Retrieval for the Systematic Image-Based Optical Alignment Test Bed

Authors

Jaime R. Taylor, Marshall UniversityFollow
B. Alex King III
Jim Steincamp
John Rakoczy

Document Type

Article

Publication Date

2-2006

Abstract

A real-valued genetic algorithm with random rank-based selection is shown to successfully estimate the multiple phases of a segmented optical system modeled on the seven-mirror Systematic Image-Based Optical Alignment test bed located at NASA’s Marshall Space Flight Center. Comparisons are made between this and more traditional phase-retrieval methods. No significant increase in computational speed is observed using the genetic algorithm technique.

Comments

Copyright © 2006. The Astronomical Society of the Pacific. All rights reserved.

Recommended Citation

Jaime R. Taylor, B. Alex King III, Jim Steincamp and John Rakoczy. Genetic Algorithm Phase Retrieval for the Systematic Image-Based Optical Alignment Test Bed. Publications of the Astronomical Society of the Pacific, Vol. 118, No. 840 (February 2006), pp. 319-323.