One of the main limitations of utilizing optimal wavefront shaping in imaging and authentication applications is the slow speed of the optimization algorithms currently being used. To address this problem we develop a micro-genetic optimization algorithm (μGA) for optimal wavefront shaping. We test the abilities of the μGA and make comparisons to previous algorithms (iterative and simple-genetic) by using each algorithm to optimize transmission through an opaque medium. From our experiments we find that the μGA is faster than both the iterative and simple-genetic algorithms and that both genetic algorithms are more resistant to noise and sample decoherence than the iterative algorithm.
@article{arxiv.1503.00573,
title = {Microgenetic optimization algorithm for optimal wavefront shaping},
author = {Benjamin R. Anderson and Patrick Price and Ray Gunawidjaja and Hergen Eilers},
journal= {arXiv preprint arXiv:1503.00573},
year = {2015}
}