Research on intelligent algorithms for amplitude optimization of wavefront shaping.

This paper demonstrates further research on intelligent algorithms of binary amplitude optimization for wavefront shaping by numerical simulations. A better fitness function of the genetic algorithm (GA) has been presented after a comparative analysis of enhancement. With this new discriminant, we have achieved a relative enhancement of 0.225, which is higher than the theoretical value (0.159). In addition, we have also proposed a kind of modified particle swarm optimization algorithm (PSO), which has a higher enhancement than the unmodified PSO and a faster convergence speed than the GA. These studies provide remarkable insights into future exploration of intelligent algorithms for wavefront shaping.

[1]  D. Conkey,et al.  Genetic algorithm optimization for focusing through turbid media in noisy environments. , 2012, Optics express.

[2]  A. Mosk,et al.  Focusing coherent light through opaque strongly scattering media. , 2007, Optics letters.

[3]  Changhuei Yang,et al.  Implementation of a digital optical phase conjugation system and its application to study the robustness of turbidity suppression by phase conjugation , 2010, Optics express.

[4]  Yue Shi,et al.  A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[5]  Peter Kner,et al.  Binary wavefront optimization using a genetic algorithm , 2014 .

[6]  E. G. van Putten,et al.  Focusing light through random photonic media by binary amplitude modulation. , 2011, Optics express.

[7]  YongKeun Park,et al.  Recent advances in wavefront shaping techniques for biomedical applications , 2015, 1502.05475.

[8]  S. Popoff,et al.  Measuring the transmission matrix in optics: an approach to the study and control of light propagation in disordered media. , 2009, Physical review letters.

[9]  Russell C. Eberhart,et al.  Comparison between Genetic Algorithms and Particle Swarm Optimization , 1998, Evolutionary Programming.

[10]  James Kennedy,et al.  The particle swarm: social adaptation of knowledge , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

[11]  A. Mosk,et al.  Phase control algorithms for focusing light through turbid media , 2007, 0710.3295.

[12]  Wiendelt Steenbergen,et al.  Using digital micromirror devices for focusing light through turbid media , 2014, Photonics West - Micro and Nano Fabricated Electromechanical and Optical Components.

[13]  K. Dholakia,et al.  In situ wavefront correction and its application to micromanipulation , 2010 .

[14]  I. Vellekoop,et al.  Scattered light fluorescence microscopy: imaging through turbid layers. , 2010, Optics letters.

[15]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[16]  Russell C. Eberhart,et al.  A discrete binary version of the particle swarm algorithm , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[17]  Q. Peng,et al.  Photodynamic Therapy , 1988, Methods in Molecular Biology.