HIGHLIGHTS
- who: Qifa Wang and collaborators from the School of Computer and Information Engineering, Jiangxi Agricultural University, Nanchang, China have published the research work: An Adaptive Beetle Swarm Optimization Algorithm with Novel Opposition-Based Learning, in the Journal: Electronics 2022, 3905 of /2022/
- what: This study proposes a novel improved opposition-based learning method which is more suitable for swarm intelligence algorithms, and it is illustrated in detail in the subsequent Section 3.1 of the study. The analysis shows that the optimization ability of the NOBBSO is stronger than the original algorithm. The adaptive strategy . . .
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