Cart (Loading....) | Create Account
Close category search window
 

A new hybrid elevator group control system scheduling strategy based on Particle Swarm Simulated Annealing Optimization algorithm

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

3 Author(s)
Luo Fei ; Coll. of Autom. Sci. & Eng., South China Univ. of Tech., Guangzhou, China ; Zhao Xiaocui ; Xu Yuge

Particle Swarm Optimization(PSO) algorithm has been wiedly used in many areas due to the advantages of simple realization and fast convergence.While it will trap in local minimum easily. To overcome the shortcoming, this paper proposes a hybrid algorithm PSO-SA by introducing the simulated annealing(SA) algorithm to the standard PSO and applies it to hybrid elevator group control system for optimizing scheduling. The hybrid algorithm integrates PSO's fast convergence and the advantage of jumping out of the local optimization in SA. Comparing the hybrid algorithm with the standard PSO and Artificial Immune(AI) under the same condition, shows that the hybrid algorithm can overcome this shortcoming of PSO effectively, demonstrates the feasibility and superiority of PSO-SA in optimizing scheduling. This paper adds the new scheduling algorithms for elevator group control system, and expands the application of PSO.

Published in:

Intelligent Control and Automation (WCICA), 2010 8th World Congress on

Date of Conference:

7-9 July 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.