35 Optimization of Energy Saving Strategy of Elevator Group Control System Based on Ant Colony Algorithm Available to Purchase

Most of the scheduling algorithm of elevator group system today mainly focus on how to reduce the waiting time of passengers and the running time of elevators, and the energy consume of elevators is always ignored. A least-cost energy dispatching algorithm for elevator group system based on ant colony algorithm is proposed in this paper. Because the dispatching problem of elevator group control system is a typical combinatorial optimization problem, and the ant colony algorithm is good at solving discrete combinatorial optimization problem, and it has good global optimization ability and fast convergence ability. In order to achieve the goal of energy saving, first, the algorithm model and the energy objective function is established; second, optimal convergence mechanism based on pheromone-update and the elevator-select probability is proposed; and tabu list is used. Finally, data simulation experiment was taken and the result of data simulation show that the algorithm is efficient and effective.