Adaptive population-based search: application to estimation of nonlinear regression parameters

DOI10.1016/j.csda.2006.10.014zbMath1203.62119OpenAlexW2061796887MaRDI QIDQ1020869

Josef Tvrdík, I.Křiv\v{y}, Ladislav jun. Mišík

Publication date: 2 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.10.014

zbMATH Keywords

global optimizationconvergenceheuristicsnonlinear regressionevolutionary algorithmscontrolled random search

Mathematics Subject Classification ID

General nonlinear regression (62J02) Applications of mathematical programming (90C90)

Related Items (3)

A hybrid global optimization algorithm for nonlinear least squares regression ⋮ Evolutionary Algorithms with Competing Heuristics in Computational Statistics ⋮ Editorial: Special issue on statistical algorithms and software

Uses Software

• Matlab
• Excel

Cites Work

• Unnamed Item
• On the accuracy of statistical procedures in Microsoft Excel 2003
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• A population-based algorithm-generator for real-parameter optimization
• A flexible evolutionary agent: cooperation and competition among real-coded evolutionary operators
• Population set-based global optimization algorithms: some modifications and numerical studies
• Minimization by Random Search Techniques
• A controlled random search procedure for global optimisation
• Introduction to Stochastic Search and Optimization
• Compact MIMO Antenna for Portable UWB Applications With Band-Notched Characteristic
• A Simplex Method for Function Minimization

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