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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/23264
Title: Opposition-based antlion optimizer using Cauchy distribution and its application to data clustering problem
Authors: Dinkar S.K.
Deep, K.
Published in: Neural Computing and Applications
Abstract: This paper proposes an improved version of antlion optimizer (ALO) to solve data clustering problem. In this work, Cauchy distribution-based random walk is employed in place of uniform distribution to jump out of local optima as a first strategy. Then opposition-based learning model is utilized in conjunction with acceleration coefficient to overcome the slow convergence of classical ALO as second strategy to propose opposition-based ALO using Cauchy distribution (OB-C-ALO). The performance of the proposed OB-C-ALO is evaluated over a set of benchmark problems of different varieties of characteristics and analysed statistically by performing Wilcoxon rank-sum test. The proposed version then utilizes K-means clustering by refining the clusters formed using K-means as objective function. The algorithm is evaluated on six data sets of UCI machine learning repository and compared with classical ALO and recently developed version of ALO, namely OB-L-ALO, over benchmark test problems as well as data clustering problem and proved to be better in terms of performance achieved. © 2019, Springer-Verlag London Ltd., part of Springer Nature.
Citation: Neural Computing and Applications, 32(11): 6967-6995
URI: https://doi.org/10.1007/s00521-019-04174-0
http://repository.iitr.ac.in/handle/123456789/23264
Issue Date: 2020
Publisher: Springer
Keywords: Cauchy distribution
Data clustering
Intra-cluster variance
Opposition-based learning
Optimization
ISSN: 9410643
Author Scopus IDs: 57196220500
8561208900
Author Affiliations: Dinkar, S.K., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
Deep, K., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India
Funding Details: The first author is thankful to All India Council of Technical Education (AICTE), Government of India, for funding this research. All India Council for Technical Education, AICTE
Corresponding Author: Dinkar, S.K.; Department of Mathematics, India; email: sdinkar@ma.iitr.ac.in
Appears in Collections:Journal Publications [MA]

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