Research Article | OPEN ACCESS
Research on Multi-Objective Minimum Spanning Tree Algorithm Based on Ant Algorithm
1Yong Li, 2Chuan Yun Zou, 1, 3Shuang Zhang and 3Mang I Vai
1The Engineering and Technical College of Chengdu University of Technology, Leshan, 614000, China
2College of Information Engineering, Southwest University of Science and Technology,
Mianyang 621010, China
3Biomedicine Department of Electrical and Electronics Engineering, Faculty of Science and
Technology, University of Macau, Macau SAR 999078, China
Research Journal of Applied Sciences, Engineering and Technology 2013 21:5051-5056
Received: October 03, 2012 | Accepted: December 03, 2012 | Published: May 20, 2013
Abstract
The ant algorithm is a branch of the artificial intelligence, which is developed from natural rules and of strong adaptability and expandability. Compared to other conventional algorithms, the algorithm has an unparalleled advantage that is demonstrated on combinatorial optimization problems through its application in the multi-objective minimum spanning tree.
Keywords:
Ant algorithm, multi-objective optimization, minimum spanning tree, multi-objective minimum spanning tree, vartificial intelligence,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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