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

Computer network optimization using genetic algorithm

Sayfa
245–250
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

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

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this paper, Genetic Algorithm (GA) is proposed as optimization software to find the shortest path of various computer networks.
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Temel Bulgular & Veri:It deals with different method concerning the placement routers, routes the packages.
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Sonuç & Katkı:Genetic Algorithm gives better results regarding other classical methods as the number of nodes of the network increases.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

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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Bu Makaleye Atıf Yap

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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Kaynakça (5)

  1. Uçan, O.N., Osman, O.,“Bilgisayar Ağları ve Haberleşme Teknikleri”, Istanbul University Press, 2003
  2. Wattenhofer, R., Ad-hoc Networks Mobile Computing. Distributed Computing Group, 19. 2002 [3] Kurose, J.F., Ross, K.W.,, Computer Networking a Top-down Approach Featuring The Internet, Addision Wesley, United States of America, 752, 2003
  3. Gen M., Cheng R., Wang, D., “Genetic Algorithms for Solving Shortest Path Problems”, Proceedings of IEEE International Conference on Evolutionary Computing, 401-406, 1997
  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.