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

Comparison of tree encoding schemes for Biobjective Minimum Spanning Tree problem

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

2 Author(s)
Sanger, A.K.S. ; ABV Indian Inst. of Inf. Technol. & Manage., Gwalior, India ; Agrawal, A.K.

Minimum Spanning Trees (MST) problem is a classical problem in operation research and network design problem is an important application of it. Minimum Spanning Tree (MST) problem can be solved efficiently, but its Biobjective versions are NP hard. In this paper, we compare three tree encoding schemes using Biobjective evolutionary algorithm. Three different tree encoding methods in the evolutionary algorithms are being used to solve three different instances of Biobjective Minimum Spanning Tree problem; comparative study of the tree encoding schemes used is done on the basis of Pareto optimal front obtained. Our approach involves Biobjective Minimum Spanning Tree problem using Nondominated Sorting Genetic Algorithm II (NSGAII). We compare Edge Set encoding, Prüfer encoding, Characteristic Vector encoding using evolutionary algorithm for Biobjective Minimum Spanning Tree, we find that edge sets encoding performs better than Prüfer and Characteristic Vector for Biobjective Minimum Spanning Tree problem while we are solving Biobjective Minimum Spanning Tree problem using Nondominated Sorting Genetic Algorithm II (NSGAII).

Published in:

Information and Financial Engineering (ICIFE), 2010 2nd IEEE International Conference on

Date of Conference:

17-19 Sept. 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.