Title :
The scheduling of the multi-objective elevator based on TSP
Author :
Wen, Qianghua ; Ge, Bin
Author_Institution :
Inf. Process. Lab., Dalian Univ., Dalian, China
Abstract :
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.
Keywords :
lifts; scheduling; travelling salesman problems; TSP; ant colony algorithm; elevator energy consumption; multiobjective elevator control; multiobjective elevator scheduling; waiting time; Algorithm design and analysis; Elevators; Information processing; Intelligent control; Laboratories; Scheduling; Traveling salesman problems; Ant colony algorithms; TSP; multi-objective; scheduling of elevator;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location :
Taipei
Print_ISBN :
978-1-61284-698-9
DOI :
10.1109/WCICA.2011.5970546