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Joint Opposite Selection (JOS) in Optimization

version 1.1.1 (6.37 MB) by Florentina Yuni Arini
JOS: A well-match joint of Selective Leading Opposition (SLO) and Dynamic Opposite (DO)

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Updated 15 Jan 2022

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Related Paper:

Joint Opposite Selection (JOS): A premiere joint of selective leading opposition and dynamic opposite enhanced Harris’ hawks optimization for solving single-objective problems Available at https://doi.org/10.1016/j.eswa.2021.116001 (https://www.sciencedirect.com/science/article/pii/S095741742101349X).

Cite As :

Arini, F. Y., Chiewchanwattana, S., Soomlek, C., & Sunat, K. (2022). Joint Opposite Selection (JOS): A premiere joint of selective leading opposition and dynamic opposite enhanced Harris’ hawks optimization for solving single-objective problems. Expert Systems with Applications, 188. https://doi.org/10.1016/j.eswa.2021.116001

The other proposed algorithms (GWO-JOS, MFO-JOS, SOA-JOS, and WOA-JOS) still on submission process.

Noted: The code set on CEC 2017. We include another competition package on CEC 2014. For the use of CEC 2014, only change the name of 'cec17_func' to 'cec14_func'.

Cite As

Florentina Yuni Arini (2022). Joint Opposite Selection (JOS) in Optimization (https://github.com/FlorentinaJOS/JOS_in_Optimization/releases/tag/v1.1.1), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2018a
Compatible with R2018a
Platform Compatibility
Windows macOS Linux
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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.