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MTPSO algorithm for solving planar graph coloring problem

Authors :
Hsu, Ling-Yuan
Horng, Shi-Jinn
Fan, Pingzhi
Khan, Muhammad Khurram
Wang, Yuh-Rau
Run, Ray-Shine
Lai, Jui-Lin
Chen, Rong-Jian
Source :
Expert Systems with Applications. May2011, Vol. 38 Issue 5, p5525-5531. 7p.
Publication Year :
2011

Abstract

Abstract: In this paper, we proposed a modified turbulent particle swarm optimization (named MTPSO) model for solving planar graph coloring problem based on particle swarm optimization. The proposed model is consisting of the walking one strategy, assessment strategy and turbulent strategy. The proposed MTPSO model can solve the planar graph coloring problem using four-colors more efficiently and accurately. Compared to the results shown in , not only the experimental results of the proposed model can get smaller average iterations but can get higher correction coloring rate when the number of nodes is greater than 30. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09574174
Volume :
38
Issue :
5
Database :
Academic Search Index
Journal :
Expert Systems with Applications
Publication Type :
Academic Journal
Accession number :
57533254
Full Text :
https://doi.org/10.1016/j.eswa.2010.10.084