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

A Preference-Based Non-dominated Sorting Genetic Algorithm on dynamic economic dispatch

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)
Xiuqin Shang ; State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou ; Jiangang Lu ; Youxian Sun

A preference-based non-dominated sorting genetic algorithm (PNSGA) is introduced to optimize multi-objective problems. PNSGA adopts the technique of the decision maker, which can combine Pareto dominance with partial preference information. And the preferable relationship is defined based on Pareto dominance and goal function. The algorithm is utilized to optimize a novel multi-objective model of the dynamic economic dispatch in power system. Experimental results demonstrate the good validity of the proposed algorithm.

Published in:

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Date of Conference:

25-27 June 2008