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Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2006 / Cilt: 6 - Sayı: 2

Computer network optimization using genetic algorithm

Olcay AKBULUT
Onur OSMAN
Osman N. UÇAN
Pages
245–250
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Genetic Algorithm gives better results regarding other classical methods as the number of nodes of the network increases.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, Genetic Algorithm (GA) is proposed as optimization software to find the shortest path of various computer networks.
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Key Findings & Data:It deals with different method concerning the placement routers, routes the packages.
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Conclusion & Impact:Genetic Algorithm gives better results regarding other classical methods as the number of nodes of the network increases.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this paper, Genetic Algorithm (GA) is proposed as optimization software to find the shortest path of various computer networks. It deals with different method concerning the placement routers, routes the packages. The genetic based algorithm defines an optimum way when a computer network system is constructed. Genetic Algorithm gives better results regarding other classical methods as the number of nodes of the network increases.

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Cite This Article

AKBULUT, O., OSMAN, O., UÇAN, O. N. (2022). Computer network optimization using genetic algorithm. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 6 - Sayı: 2, 245–250. https://ajindex.com/articles/543807

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References (5)

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  4. Buckles, B.P., Petry, F.E., Genetic Algorithms, IEEE Computer Press, Los Alamitos,1994
  5. Dejong, K., Learning With Genetic Algorithms: An Overview, Machine Learning, Vol.3, 121-138, Kluwer Academic, Hingham, MA, 1998.