TSP;
multi-objective;
scheduling of elevator;
Ant colony algorithms;
D O I:
暂无
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
This paper researches the scheduling of the multi-objective elevator from a new perspective, building a new model after modifying tsp model. Tsp is transformed into the problem of the multi-objective elevator control. The paper analyses waiting time and elevator energy consumption, solving the control of the multi-objective elevator successfully. Taking Ant colony algorithms as example, scheduling scheme of the multi-objective elevator is completed through the resolution of tsp.