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2014 Novel Global Harmony Search Algorithm for Least Absolute Deviation
Longquan Yong
J. Appl. Math. 2014: 1-6 (2014). DOI: 10.1155/2014/632975

Abstract

The method of least absolute deviation (LAD) finds applications in many areas, due to its robustness compared to the least squares regression (LSR) method. LAD is robust in that it is resistant to outliers in the data. This may be helpful in studies where outliers may be ignored. Since LAD is nonsmooth optimization problem, this paper proposed a metaheuristics algorithm named novel global harmony search (NGHS) for solving. Numerical results show that the NGHS method has good convergence property and effective in solving LAD.

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Longquan Yong. "Novel Global Harmony Search Algorithm for Least Absolute Deviation." J. Appl. Math. 2014 1 - 6, 2014. https://doi.org/10.1155/2014/632975

Information

Published: 2014
First available in Project Euclid: 2 March 2015

zbMATH: 07131755
Digital Object Identifier: 10.1155/2014/632975

Rights: Copyright © 2014 Hindawi

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