ACO ant colony algorithm
2016-08-23
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Ant colony algorithm (ant colony optimization, ACO), also known as ant algorithm is an algorithm used to find the optimal path probability model in the figure. It is in his doctoral thesis proposed by Marco Dorigo in 1992, inspired by the behavior of the path of the ants found in the process of looking for food. Ant colony algorithm is a simulated evolutionary algorithm, preliminary studies show that the algorithm has many excellent properties. PID controller parameters are optimized for the design, and the result will be the result of ant colony algorithm and genetic algorithm are compared, the numerical simulation results show that ant colony algorithm is a new kind of simulated evolutionary optimization method validity and application value.
matlab
算法
ACO
蚁群
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