Exploring the reasons behind the good performance of opposition-based learning

• Main Authors: Xu, Qingzheng, Wang, Na, Zou, Feng, Yang, Jungang
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Opposition-based Learning; Differential Evolution; DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/105993; http://hdl.handle.net/10220/48845; http://dx.doi.org/10.1109/ACCESS.2018.2890402
• Institution: Nanyang Technological University

In the face of these diverse forms of opposition existed widely in real-world contexts, as a novel concept in computational intelligence, opposition-based learning (OBL) was originally introduced to accelerate the population-based algorithm. In addition, its superiority has been proved mathematicall...