Genetic Algorithm Optimized Receiver-Oriented Packet Clustering in Multi-Buffer Network Card

Nurika, Okta; Hassan, Mohd Fadzil; Zakaria, Nordin; Jung, Low Tan

doi:10.1166/asl.2016.7117

Cited by 2 publications

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“…The related future work will be to study the fluctuation of GA in our another paper, which is about simulated packet clustering optimization in a data centre [9]. The study will compare the behavior of GA when an additional gene is added.…”

Section: Discussionmentioning

confidence: 99%

A Study of Fluctuations in Genetic Algorithm Optimized Network in Data Centre

Nurika¹,

Hassan²,

Zakaria³

et al. 2017

Proceedings of the First EAI International Conference on Computer Science and Engineering

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Study of fluctuation in genetic algorithm has been a sub-objective in genetic algorithm implementations. The reliability of genetic algorithm may vary based on implementation case, hence it is necessary to investigate its performance pattern for each implementation case. The purpose of this study is to observe the reliability of genetic algorithm in our previously simulated network optimization in a data centre. Previous researchers found fluctuation as random occurrence, mainly within small population. This paper's fluctuation observation revolves around our recent optimization of data centre's network. Our findings agree with the nature of genetic algorithm and other researches, where it is found that the fluctuation of fitness values in our case happened randomly in general, but it had higher probability with small population size. However, regardless of fluctuations that in average occurred during early stage of population generation, the near-optimal solutions with near maximum fitness values were able to be generated. This fact has proven the robustness of genetic algorithm itself.

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Section: Discussionmentioning

confidence: 99%