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IJML 2012 Vol.2(4): 410-414
doi: 10.7763/IJMLC.2012.V2.155

A Genetic Approach for Solving Minimum Routing Cost Spanning Tree Problem

Quoc Phan Tan

  • Department of Information Technology of Saigon University, Ho Chi Minh city, Vietnam.

Abstract

Minimum Routing Cost Spanning Tree (MRCT) is one of spanning tree optimization problems having several applications in network design. In general case, the problem is proved to be NP-hard. The paper uses genetic (GA) approach to solve MRCT problem. Computational experiment results show that GA approach outperforms current approximation algorithms.

Keywords

  • Routing Cost Spanning Tree
  • Genetic Algorithm
  • Metaheuristic Algorithm
  • Spanning Tree Optimization Problem
155-C00896-009

How to Cite

Copied

Quoc Phan Tan, "A Genetic Approach for Solving Minimum Routing Cost Spanning Tree Problem," International Journal of Machine Learning, vol. 2, no. 4, pp. 410-414, 2012. https://doi.org/10.7763/IJMLC.2012.V2.155

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD