An Improved Discrete Bat Algorithm Used for System Fault Diagnosis

Li, Hang; Yin, Shoulin

doi:10.3923/jse.2017.230.235

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2019

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“…Nowadays, many researchers have extended the original BA to solve discrete problem such as [19] in fault system diagnosis [20], Traveling Salesman Problem (TSP) [21]. Krause et.…”

Section: Introductionmentioning

confidence: 99%

Bat algorithm and k-means techniques for classification performance improvement

Mohamed

Yusof

Wahid

et al. 2019

IJEECS

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This paper presents Bat Algorithm and K-Means techniques for classification performance improvement. The objective of this study is to investigate efficiency of Bat Algorithm in discrete dataset and to find the optimum feature in discrete dataset. In this study, one technique that comprise the discretization technique and feature selection technique have been proposed. Our contribution is in two process of classification: pre-processing and feature selection process. First, to proposed discretization techniques called as BkMD, where we hybrid Bat Algorithm technique and K-Means classifier. Second, to proposed BkMDFS as feature selection technique where Bat Algorithm is embed into BkMD. In order to evaluate our proposed techniques, 14 continuous dataset from various applications are used in experiment. From the experiment, results show that BkMDFS outperforms in most performance measures. Hence it shows that, Bat Algorithm have potential to be one of the discretization technique and feature selection technique.

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“…Nowadays, many researchers have extended the original BA to solve discrete problem such as [19] in fault system diagnosis [20], Traveling Salesman Problem (TSP) [21]. Krause et.…”

Section: Introductionmentioning

confidence: 99%