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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
Cite As
W. Zhao (2026). Quadratic Interpolation Optimization (QIO) (https://au.mathworks.com/matlabcentral/fileexchange/135627-quadratic-interpolation-optimization-qio), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.1 (5.78 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
