论文标题
动态突变增强了波前塑形的贪婪策略
Dynamic mutation enhanced greedy strategy for wavefront shaping
论文作者
论文摘要
通过散射介质进行光学焦点对医学，通信和检测中的光学应用具有重要意义。近年来，许多波前塑形方法已成功地应用于该领域，其中种群优化算法取得了显着的结果。但是，当前的总体优化算法具有一些缺点：1。后代不能完全继承父母的好基因。 2。需要更多的努力来调整参数。在本文中，我们提出了突变的贪婪算法。它结合了贪婪的策略和突变率的实时反馈，以产生后代。在波前塑形中，没有参数调节过程，人们可以实现高增强和快速收敛。
Optical focusing through scattering media has important implications for optical applications in medicine, communications, and detection. In recent years, many wavefront shaping methods have been successfully applied to the field, among which the population optimization algorithm has achieved remarkable results. However, the current population optimization algorithm has some drawbacks: 1. the offspring do not fully inherit the good genes from the parent. 2. more efforts are needed to tune the parameters. In this paper, we propose the mutate greedy algorithm. It combines greedy strategies and real-time feedback of mutation rates to generate offspring. In wavefront shaping, people can realize high enhancement and fast convergence without a parameter-tuning process.
