Ant Colony algorithm for the shortest path to univ
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& nbsp; & nbsp; nbsp; & & nbsp; ant colony algorithm (colony optimization ant, ACO), also known as ant algorithm, is a kind of probabilistic algorithm used to find the optimal path in the graph. It was proposed by Dorigo Marco in his PhD thesis in 1992, inspired by the behavior of ants in their search for food. Ant colony algorithm is a simulated evolutionary algorithm. The preliminary study shows that the algorithm has many excellent properties. For the PID controller parameters optimization design problem, and compares the results of genetic algorithm and ant colony algorithm for the design of the design, numerical simulation results show that ant colony algorithm is a new kind of simulated evolutionary optimization method, the validity and application value.