Swarm Intelligent Application in Networks Routing Problem | Zendy

Firas Hussein Ali | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Swarm Intelligent Application in Networks Routing Problem

Author(s) -

Firas Hussein Ali

Publication year - 2016

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2016907730

Subject(s) - computer science , swarm behaviour , routing (electronic design automation) , swarm intelligence , operations research , computer network , distributed computing , artificial intelligence , particle swarm optimization , machine learning , engineering

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research