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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18972
Title: Curve fitting using gravitational search algorithm and its hybridized variants
Authors: Singh A.
Deep, K.
Deep A.
Deep K.
Das K.N.
Bansal J.C.
Pant M.
Nagar A.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: In many experimental studies in scientific applications a set of given data is to be approximated. This can be performed either by minimizing the least absolute deviation or by minimizing the least square error. The objective of this paper is to demonstrate the use of gravitational search algorithm and its recently proposed hybridized variants, called LXGSA, PMGSA and LXPMGSA, to fit polynomials of degree 1, 2, 3, or 4 to a set of N points. It is concluded that one of the hybridized version namely, LXPMGSA outperform all other variants for this problem. © Springer Science+Business Media Singapore 2016.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2016), 823- 837
URI: https://doi.org/10.1007/978-981-10-0451-3_74
http://repository.iitr.ac.in/handle/123456789/18972
Issue Date: 2016
Publisher: Springer Verlag
Keywords: Gravitational search algorithm
Least absolute deviation
Method of least square
Algorithms
Curve fitting
Learning algorithms
Least squares approximations
Soft computing
Gravitational search algorithms
Least absolute deviations
Least square errors
Method of least squares
Scientific applications
Problem solving
ISBN: 9.79E+12
ISSN: 21945357
Author Scopus IDs: 57211750941
8561208900
55625214200
Author Affiliations: Singh, A., Department of Mathematics, Indian Institute of Technology, Roorkee, Roorkee, Uttarakhand, 247667, India
Deep, K., Department of Mathematics, Indian Institute of Technology, Roorkee, Roorkee, Uttarakhand, 247667, India
Deep, A., Department of Applied Science and Engineering, Indian Institute of Technology, Roorkee, Roorkee, Uttarakhand, 247667, India
Corresponding Author: Singh, A.; Department of Mathematics, Indian Institute of Technology, RoorkeeIndia; email: amarjeetiitr@gmail.com
Appears in Collections:Conference Publications [MA]

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