A Novel Quantum Ant Colony Algorithm for the Choice for the Site of the Urban Public Transport Station Problem

In this paper, according to the characteristics and influence factors of the site of the urban public transport station problem, a mathematical model of the urban public transport station problem was established. Quantum Ant Colony Algorithm was used to solve the model, with Lanzhou city of Gansu Province as example, the algorithm was experimented and the experimental results show that the novel algorithm can acquire the optimal solution that is accord with the practice, moreover, the novel algorithm has much more practical.