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

Development of a multi-layer genetic algorithm for maintenance scheduling in power systems

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

1 Author(s)
Negnevitsky, M. ; CSIRO Marine Res., Hobart, TAS

This paper examines a real-life maintenance scheduling problem in a power system. Due to the large search space, it proved difficult to reach an optimal solution using a traditional genetic algorithm (GA). In order to improve the GA performance, the problem was divided into several layers, each layer representing a part of the initial problem. A modified GA was used to built sub-schedules, satisfying specified criteria. The sub-schedules were used as single genes to built up a complete schedule.

Published in:

Transmission and Distribution Conference and Exposition, 2008. T&D. IEEE/PES

Date of Conference:

21-24 April 2008

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.