An Adaptive Opposition-Based Learning Selection: The Case for Jaya Algorithm

An Adaptive Opposition-Based Learning Selection: The Case for Jaya Algorithm

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Over the years, opposition-based Learning (OBL) technique has been proven to effectively enhance the convergence of meta-heuristic algorithms. The fact that OBL is able to give alternative candidate solutions in one or more opposite directions ensures good exploration and exploitation of the search...

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Bibliographic Details
Main Authors: Abdullah B. Nasser, Kamal Z. Zamli, Fadhl Hujainah, Waheed Ali H. M. Ghanem, Abdul-Malik H. Y. Saad, Nayef Abdulwahab Mohammed Alduais
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Opposition based learning
adaptive selection
Jaya algorithm
Online Access:https://ieeexplore.ieee.org/document/9337859/

Internet

https://ieeexplore.ieee.org/document/9337859/

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