An adaptive opposition-based learning selection: the case for Jaya algorithm

• Main Authors: Nasser, Abdullah, Zamli, Kamal Z., Hujainah, Fadhl, M. Ghanem, Waheed Ali, Y. Saad, Abdul Malik, Mohammed Alduais, Nayef Abdulwahab
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/94860/2/AbdulMalik2021_AnAdaptiveOppositionBasedLearning.pdf; http://eprints.utm.my/id/eprint/94860/; http://dx.doi.org/10.1109/ACCESS.2021.3055367

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...