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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2013 Vol.5(3): 509-513 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2013.V5.739

A Novel Ant Colony Optimization-Based Algorithm for the Optimal Communication Spanning Tree Problem

Nhu Gia Nguyen, Dac-Nhuong Le, and Nguyen Dang Le
Abstract—The optimal communication spanning tree (OCST) problem finds a spanning tree that connects all node satisfies their communication requirements for a minimum total cost. In this paper, we present a new method of finding optimal solution for OCST problem based on Ant Colony Optimization (ACO) to reduce search space mentioned above but still converge to a global good solution. Our algorithm take account into node biased encoding (NBE) scheme to find nearly optimal solution. The new algorithm can achieve a result that is better than known heuristic algorithms do, as verified by a set of public benchmark problem instances.

Index Terms—Optimal communication spanning tree, node biased encoding, ant colony optimization.

Nhu Gia Nguyen is with the Duy Tan University, Danang, Vietnam (e-mail: Nguyengianhu@duytan.edu.vn).
Dac-Nhuong Le is with the Faculty of Information Technology, Haiphong University, Vietnam (e-mail: Nhuongld@ hus.edu.vn).
Nguyen Dang Le is with the Haiphong University, Vietnam (e-mail: Nguyenld@ hus.edu.vn).

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Cite:Nhu Gia Nguyen, Dac-Nhuong Le, and Nguyen Dang Le, "A Novel Ant Colony Optimization-Based Algorithm for the Optimal Communication Spanning Tree Problem," International Journal of Computer Theory and Engineering vol. 5, no. 3, pp. 509-513, 2013.

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