ACO

说明：  蚁群算法是模拟蚁群觅食行为的一种优化算法。在整个觅食过程中蚂蚁散播信息素，蚂蚁通过感知到的信息素多少，来决定所要选择的下一个栅格。蚁群算法的核心部分在于模拟了蚁群的转移概率选择行为，通过使用信息素和启发式函数值进行转移概率计算。粒子群算法可以用于机器人运动轨迹规划，求得最短路径(Ant colony algorithm is an optimization algorithm to simulate foraging behavior of ant colony.The ant disperses pheromones throughout the foraging process. The ant senses how many pheromones it has to choose the next grid.The core part of ant colony algorithm is to simulate the transfer probability selection behavior of ant colony and calculate the transfer probability by using pheromones and heuristic function values.Particle swarm optimization (pso) can be used for robot trajectory planning to obtain the shortest path)

ACO.m, 6521 , 2020-05-26