Quadratic Interpolation Optimization (QIO) is a new optimization approach for solving optimization problems. QIO is motivated derived from mathematics, specifically the newly proposed generalized quadratic interpolation (GQI) method. The GQI method can better find the minimizer of the quadratic interpolation function form any three points. The algorithm is simple and easy to implement.
W. Zhao, L. Wang, Z. Zhang, S. Mirjalili, N. Khodadadi, Q. Ge, Quadratic Interpolation Optimization (QIO): A new optimization algorithm based on generalized quadratic interpolation and its applications to real-world engineering problems, Computer Methods in Applied Mechanics and Engineering (2023) 116446, https://doi.org/10.1016/j.cma.2023.116446.
The free download (before November 17, 2023) is available at:https://authors.elsevier.com/a/1hqpHAQEJ1Ki8
引用
W. Zhao (2025). Quadratic Interpolation Optimization (QIO) (https://www.mathworks.com/matlabcentral/fileexchange/135627-quadratic-interpolation-optimization-qio), MATLAB Central File Exchange. に取得済み.
MATLAB リリースの互換性
作成:
R2019a
すべてのリリースと互換性あり
プラットフォームの互換性
Windows macOS Linuxタグ
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!