A Joint Opposite Selection (JOS) on opposition optimization

JOS in optimization : A well-match joint of Selective Leading Opposition (SLO) and Dynamic Opposite (DO) for optimization.

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

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'.