Arithmetic-Trigonometric Optimization Algorithm

This code implements a novel hybrid arithmetic–trigonometric optimization algorithm (ATOA) using different trigonometric functions

https://www.mdpi.com/1424-8220/22/2/617/htm

Ahora está siguiendo esta publicación

This paper proposes a novel hybrid arithmetic–trigonometric optimization algorithm (ATOA) using different trigonometric functions for complex and continuously evolving real-time problems. The proposed algorithm adopts different trigonometric functions, namely sin, cos, and tan, with the conventional sine cosine algorithm (SCA) and arithmetic optimization algorithm (AOA) to improve the convergence rate and optimal search area in the exploration and exploitation phases. The proposed algorithm is simulated with 33 distinct optimization test problems consisting of multiple dimensions to showcase the effectiveness of ATOA. Furthermore, the different variants of the ATOA optimization technique are used to obtain the controller parameters for the real-time pressure process plant to investigate its performance. The obtained results have shown a remarkable performance improvement compared with the existing algorithms.
Full article (open access): https://www.mdpi.com/1424-8220/22/2/617/htm

Citar como

Arun Mozhi Devan Panneer Selvam (2026). Arithmetic-Trigonometric Optimization Algorithm (https://la.mathworks.com/matlabcentral/fileexchange/113185-arithmetic-trigonometric-optimization-algorithm), MATLAB Central File Exchange. Recuperado .

Devan, P. Arun Mozhi, et al. “An Arithmetic-Trigonometric Optimization Algorithm with Application for Control of Real-Time Pressure Process Plant.” Sensors, vol. 22, no. 2, MDPI AG, Jan. 2022, p. 617, doi:10.3390/s22020617.

Ver más estilos

Agradecimientos

Inspirado por: The Arithmetic Optimization Algorithm (AOA)

Información general

Compatibilidad con la versión de MATLAB

  • Compatible con cualquier versión

Compatibilidad con las plataformas

  • Windows
  • macOS
  • Linux
Versión Publicado Notas de la versión Action
1.0.1

The Matlab codes for tracklsq function is added

1.0.0