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Dynamic shortest path analysis of routing technique via genetic algorithm
Other Title(s)
تحليل ديناميكي لأقصر الطرق في تقنية المسالك بواسطة الخوارزمية الجينية
Joint Authors
Abd al-Karim, Hanan Kamal
Salman, Nyan Dawud
Source
Journal of Engineering and Sustainable Development
Issue
Vol. 22, Issue 4 (31 Jul. 2018), pp.15-24, 10 p.
Publisher
al-Mustansyriah University College of Engineering
Publication Date
2018-07-31
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
The performance and reliability of the internet depend in large part on properties of routing techniques.
IP routing protocols nowadays compute paths based on the network configuration parameters and topology, missing view to the current traffic load on the routers and links.
This paper discusses routing optimization using Genetic Algorithm (GA) then studies and analyzes the problems in order to increase routing performance in median networks.
A genetic algorithm will be proposed in a detail to advise the performance of Open Shortest Path First (OSPF) routing Protocol.
The simulated results show that the probability of convergence to shortest path has been superior via momentary using GA in OSPF protocol.
American Psychological Association (APA)
Salman, Nyan Dawud& Abd al-Karim, Hanan Kamal. 2018. Dynamic shortest path analysis of routing technique via genetic algorithm. Journal of Engineering and Sustainable Development،Vol. 22, no. 4, pp.15-24.
https://search.emarefa.net/detail/BIM-907445
Modern Language Association (MLA)
Salman, Nyan Dawud& Abd al-Karim, Hanan Kamal. Dynamic shortest path analysis of routing technique via genetic algorithm. Journal of Engineering and Sustainable Development Vol. 22, no. 4 (Jul. 2018), pp.15-24.
https://search.emarefa.net/detail/BIM-907445
American Medical Association (AMA)
Salman, Nyan Dawud& Abd al-Karim, Hanan Kamal. Dynamic shortest path analysis of routing technique via genetic algorithm. Journal of Engineering and Sustainable Development. 2018. Vol. 22, no. 4, pp.15-24.
https://search.emarefa.net/detail/BIM-907445
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-907445