CIVILICA We Respect the Science
Publisher of Iranian Journals and Conference Proceedings

Graph Coloring Problem using Parallel Learner Genetic Algorithm

Credit to Download: 1 | Page Numbers 5 | Abstract Views: 2241
Year: 2011
Present: شفاهي
COI code: ISCEE14_088
Paper Language: English

How to Download This Paper

For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.

Authors Graph Coloring Problem using Parallel Learner Genetic Algorithm

  Habib Motee Ghader - Islamic Azad University-Tabriz Branch


Task Graph Scheduling is one of the Np-Complete problems. One application of this problem is map coloring.In this paper a new hybrid method proposed for graph coloring problem. The Proposed algorithm uses genetic and learning automata simultaneously and it runs on multi computers. So with parallel execution of instruction the optimal answer is obtained in less time. The more effectiveness of the proposed algorithm compared with the other proposed methods


Graph coloring, Genetic Algorithm, Learning Automata, Parallel Processing

Perma Link
COI code: ISCEE14_088

how to cite to this paper:

If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Motee Ghader, Habib, 2011, Graph Coloring Problem using Parallel Learner Genetic Algorithm, 14th Iranian Student Conference on Electrical Engineering, كرمانشاه, دانشگاه كرمانشاه, سازمان علمي دانشجويي مهندسي برق كشور, the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Motee Ghader, Habib, 2011)
Second and more: (Motee Ghader, 2011)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)


The University/Research Center Information:
Type: Azad University
Paper No.: 10662
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.

Research Info Management

Export Citation info of this paper to research management softwares

New Related Papers

Iran Scientific Advertisment Netword

Share this paper


COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.