An improved ant colony optimization algorithm has been developed in the present study to control an output scattered light field after an incident beam of light passes through a turbid medium. In this newly developed algorithm, the search rules and pheromone release rules of the basic ant colony optimization algorithm were modified which led to an improved search ability of the algorithm. Through reasonable designing of the cost function, the improved ant colony optimization algorithm can shape a scattered light field through turbid medium to predetermined shape. Furthermore, simulations and experiments showed that the improved ant colony optimization algorithm offers many advantages, such as good optimization effect, rapid convergence and strong anti-interference ability.

在本研究中，已开发出一种改进的蚁群优化算法，以控制入射光束穿过混浊介质后的输出散射光场。在这种新开发的算法中，修改了基本蚁群优化算法的搜索规则和信息素释放规则，从而提高了该算法的搜索能力。通过合理设计代价函数，改进的蚁群优化算法可以将混浊介质中的散射光场整形为预定形状。仿真和实验表明，改进的蚁群优化算法具有优化效果好，收敛速度快，抗干扰能力强等优点。