Abstract:
The target of Elevator group control system is assigning elevator service in order to meet the needs of customer,which is a typical combinatorial optimization problem,on the other hand,ant colony algorithm has good global optimization ability and fast convergence ability is good at solving discrete combinatorial optimization problem.However,current study of this problem mainly focus on the scheduling algorithm to reduce passenger wait and ride time,ignore the elevator's energy consume.In order to achieve the goal of energy saving,the energy objective function is established in this paper,and an elevator group control system based on ant colony model is proposed,the optimal solution and convergence of the algorithm is given.Finally,simulation was taken and the result of data simulation show that the algorithm is effective.