Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Energy-saving scheduling strategy for elevator group control system based on ant colony optimization

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jing-long Zhang ; Coll. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China ; Jie Tang ; Qun Zong ; Jun-fang Li

Elevator group control scheduling is to dispatch every elevator to serve call requests from different floors based on some certain goal. It's a kind of typical combinatorial optimization problems. Ant colony algorithm is good at solving the discrete combinatorial optimization, its well global optimization ability and quick convergence velocity are both necessary to a scheduling algorithm. Moreover, reducing passengers' waiting and traveling time is the main focus of current dispatching algorithms, neglecting the energy consumed by the elevator system. So it's necessary to research on energy-saving algorithms. For the purpose of elevator group's energy-conservation run, the objective function of energy is built, ant colony model for elevator group control system is created, its optimization mechanism is figured out, and convergence of the algorithm is studied in this paper. Simulation results show the effectiveness of the strategy.

Published in:

Information Computing and Telecommunications (YC-ICT), 2010 IEEE Youth Conference on

Date of Conference:

28-30 Nov. 2010