Research Article
Swarm Intelligent Application in Networks Routing Problem
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 133 - Issue 1 |
| Published: January 2016 |
| Authors: Firas Ali Hashim |
10.5120/ijca2016907730
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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 },
year = { 2016 },
volume = { 133 },
number = { 1 },
pages = { 25-28 },
doi = { 10.5120/ijca2016907730 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Firas Ali Hashim
%T Swarm Intelligent Application in Networks Routing Problem%T
%J International Journal of Computer Applications
%V 133
%N 1
%P 25-28
%R 10.5120/ijca2016907730
%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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