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Swarm Intelligent Application in Networks Routing Problem

by Firas Ali Hashim
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 133 - Number 1
Year of Publication: 2016
Authors: Firas Ali Hashim
10.5120/ijca2016907730

Firas Ali Hashim . Swarm Intelligent Application in Networks Routing Problem. International Journal of Computer Applications. 133, 1 ( January 2016), 25-28. DOI=10.5120/ijca2016907730

@article{ 10.5120/ijca2016907730,
author = { Firas Ali Hashim },
title = { Swarm Intelligent Application in Networks Routing Problem },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 133 },
number = { 1 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 25-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume133/number1/23752-2016907730/ },
doi = { 10.5120/ijca2016907730 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:29:56.039507+05:30
%A Firas Ali Hashim
%T Swarm Intelligent Application in Networks Routing Problem
%J International Journal of Computer Applications
%@ 0975-8887
%V 133
%N 1
%P 25-28
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents an Ant Colony Optimization (ACO) approach used to find the optimal solutions in the routing problem; it is one of the swarm intelligent applications. The Proposed method is used to determine the optimal path from source to destination for any size of networks. Optimal Path means the less cost path. The packets are sent from source node to destination node throw all node from one to another, which are traveling through the computer network. ACO algorithm can successfully find the optimal path and reduce the time.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Ant Colony Optimization (ACO) Swam Intelligent Networks Routing Optimal Path

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