A Hybrid SCA Inspired BBO for Feature Selection Problems
Joint Authors
Polat, Kemal
Sindhu, R.
Ngadiran, Ruzelita
Yacob, Yasmin Mohd
Hanin Zahri, Nik Adilah
Hariharan, M.
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-02
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Recent trend of research is to hybridize two and more metaheuristics algorithms to obtain superior solution in the field of optimization problems.
This paper proposes a newly developed wrapper-based feature selection method based on the hybridization of Biogeography Based Optimization (BBO) and Sine Cosine Algorithm (SCA) for handling feature selection problems.
The position update mechanism of SCA algorithm is introduced into the BBO algorithm to enhance the diversity among the habitats.
In BBO, the mutation operator is got rid of and instead of it, a position update mechanism of SCA algorithm is applied after the migration operator, to enhance the global search ability of Basic BBO.
This mechanism tends to produce the highly fit solutions in the upcoming iterations, which results in the improved diversity of habitats.
The performance of this Improved BBO (IBBO) algorithm is investigated using fourteen benchmark datasets.
Experimental results of IBBO are compared with eight other search algorithms.
The results show that IBBO is able to outperform the other algorithms in majority of the datasets.
Furthermore, the strength of IBBO is proved through various numerical experiments like statistical analysis, convergence curves, ranking methods, and test functions.
The results of the simulation have revealed that IBBO has produced very competitive and promising results, compared to the other search algorithms.
American Psychological Association (APA)
Sindhu, R.& Ngadiran, Ruzelita& Yacob, Yasmin Mohd& Hanin Zahri, Nik Adilah& Hariharan, M.& Polat, Kemal. 2019. A Hybrid SCA Inspired BBO for Feature Selection Problems. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1200674
Modern Language Association (MLA)
Sindhu, R.…[et al.]. A Hybrid SCA Inspired BBO for Feature Selection Problems. Mathematical Problems in Engineering No. 2019 (2019), pp.1-18.
https://search.emarefa.net/detail/BIM-1200674
American Medical Association (AMA)
Sindhu, R.& Ngadiran, Ruzelita& Yacob, Yasmin Mohd& Hanin Zahri, Nik Adilah& Hariharan, M.& Polat, Kemal. A Hybrid SCA Inspired BBO for Feature Selection Problems. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1200674
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200674