Ant colony algorithm with genetic characteristic and its application in PID parameters optimization

Ant colony algorithm convergent rate is one of key issues. In the paper, selection, crossover and mutation of genetic algorithm are introduced to ant colony algorithm. When all of the ants finish their paths, genetic operator should be used to reform the paths. As a result, we may obtain better solution in the new paths. The proposed algorithm is applied to optimize PID parameters. Simulation results indicate that the proposed has better convergent rate and optimization ability.