Novel global harmony search algorithm for least absolute deviation

DOI10.1155/2014/632975zbMath1442.62159OpenAlexW1995561199WikidataQ59053879 ScholiaQ59053879MaRDI QIDQ2336607

Long-Quan Yong

Publication date: 19 November 2019

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/632975

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• AS 229

Cites Work

• Unnamed Item
• Asymptotic normality of minimum \(L_ 1\)-norm estimates in linear models
• Least absolute deviations estimation for the censored regression model
• Instability of least squares, least absolute deviation and least median of squares linear regression. (With a comment and a rejoinder).
• The Gaussian hare and the Laplacian tortoise: computability of squared-error versus absolute-error estimators. With comments by Ronald A. Thisted and M. R. Osborne and a rejoinder by the authors
• A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice
• Optimal Estimation of Executive Compensation by Linear Programming
• Regression Quantiles
• Asymptotic Theory of Least Absolute Error Regression
• A NOTE ON LEAST ABSOLUTE DEVIATION ESTIMATION OF A THRESHOLD MODEL