Quadratic Interpolation Optimization (QIO)

Version 1.0.1 (5.78 KB) by W. Zhao
Quadratic Interpolation Optimization (QIO): a new mathematics-based metaheuristic algorithm for global optimization
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Updated 7 Oct 2023

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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 (2024). Quadratic Interpolation Optimization (QIO) (https://www.mathworks.com/matlabcentral/fileexchange/135627-quadratic-interpolation-optimization-qio), MATLAB Central File Exchange. Retrieved .

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