Paper Info
Title
Curve Fitting Using Gravitational Search Algorithm and Its Hybridized Variants.
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.
Year
DOI
Venue
2015
10.1007/978-981-10-0451-3_74
PROCEEDINGS OF FIFTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2015), VOL 2
Keywords
DocType
Volume
Gravitational search algorithm,Method of least square,Least absolute deviation
Conference
437
ISSN
Citations 
PageRank 
2194-5357
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Amarjeet Singh152649.37
Kusum Deep287682.14
Aakash Deep300.34