An adaptive opposition-based learning selection: The case for jaya algorithm
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...
Main Authors: | Nasser, Abdullah B., Kamal Z., Zamli, Hujainah, Fadhl, Ghanem, Waheed Ali H. M., Saad, Abdul-Malik H. Y., Mohammed Alduais, Nayef Abdulwahab |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/31908/1/An%20adaptive%20opposition-based%20learning%20selection.pdf |
Similar Items
-
Latin hypercube sampling Jaya algorithm based strategy for T-way test suite generation
by: Nasser, Abdullah B., et al.
Published: (2020) -
An Improved Jaya Algorithm-Based Strategy for T-Way Test Suite Generation
by: Abdullah, Nasser, et al.
Published: (2020) -
Opposition-based Whale Optimization Algorithm
by: Alamri, Hammoudeh S., et al.
Published: (2018) -
Sequence and sequence-less T-way test suite generation strategy based on flower pollination algorithm
by: Abdullah, Nasser, et al.
Published: (2015) -
Hyperdize Jaya Algorithm for Harmony Search Algorithm's Parameters Selection
by: Alaa A., Al-Omoush, et al.
Published: (2016)