A Joint Opposite Selection (JOS) on opposition optimization
Updated 15 Jan 2022
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
Our journal above can be download in https://github.com/FlorentinaJOS/JOS_in_Optimization
The other proposed algorithms (GWO-JOS, MFO-JOS, SOA-JOS, and WOA-JOS) still on submission process.
Noted: The code set on CEC 2017 (Download:https://github.com/FlorentinaJOS/JOS_in_Optimization). We also include another competition package on CEC 2014. For the use of CEC 2014, only change the name of 'cec17_func' to 'cec14_func'.
Florentina Yuni Arini (2023). A Joint Opposite Selection (JOS) on opposition optimization (https://github.com/FlorentinaJOS/JOS_in_Optimization/releases/tag/v1.1.1), GitHub. Retrieved .
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See release notes for this release on GitHub: https://github.com/FlorentinaJOS/JOS_in_Optimization/releases/tag/v1.1.1
See release notes for this release on GitHub: https://github.com/FlorentinaJOS/JOS/releases/tag/v1.1.0