中文说明：
演示基于蚁群算法的三维路径规划算法。蚁群算法是由Marco Dorigo博士，在1992年他的博士论文中提出的，其主要灵感来源于蚂蚁在寻找食物过程中发现路径的行为。蚁群算法是一种模拟进化算法，研究表明该算法具有许多优良的性质。通过对PID控制器参数优化设计方面的问题，将蚁群算法设计的结果与遗传算法设计的结果进行了比对，数值仿真结果表明，蚁群算法是一种新的模拟进化的优化方法，显示出了其适用于组合优化类问题求解的优越特性。
English Description：
Demonstrate the three-dimensional path planning algorithm based on ant colony algorithm. Ant colony algorithm (ACO) was proposed by Dr. Marco Dorigo in his doctoral thesis in 1992. Its main inspiration comes from the behavior of ants in finding food path. Ant colony algorithm (ACO) is a kind of simulated evolutionary algorithm, which has many excellent properties. Through the optimization design of PID controller parameters, the results of ant colony algorithm design are compared with the results of genetic algorithm design. The numerical simulation results show that ant colony algorithm is a new simulation evolution optimization method, which shows its advantages in solving combinatorial optimization problems.