Cargando…
A Comprehensive Review of Bat Inspired Algorithm: Variants, Applications, and Hybridization
Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in dealing with various optimization problems in diverse fields, such as power and energy systems, economic load dispatch problems, engineering design, image processing and medical applications. Thus, this...
Autores principales: | Shehab, Mohammad, Abu-Hashem, Muhannad A., Shambour, Mohd Khaled Yousef, Alsalibi, Ahmed Izzat, Alomari, Osama Ahmad, Gupta, Jatinder N. D., Alsoud, Anas Ratib, Abuhaija, Belal, Abualigah, Laith |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490733/ https://www.ncbi.nlm.nih.gov/pubmed/36157973 http://dx.doi.org/10.1007/s11831-022-09817-5 |
Ejemplares similares
-
Moth Flame Optimization: Theory, Modifications, Hybridizations, and Applications
por: Sahoo, Saroj Kumar, et al.
Publicado: (2022) -
Discrepancies of remote techno-tolerance due to COVID-19 pandemic within Arab middle-east countries
por: Abu-Hashem, Muhannad A., et al.
Publicado: (2023) -
Optimizing airport slot scheduling problem using optimization algorithms
por: Shambour, Mohd Khaled, et al.
Publicado: (2023) -
Analysing lecturers’ perceptions on traditional vs. distance learning: A conceptual study of emergency transferring to distance learning during COVID-19 pandemic
por: Shambour, Mohd Khaled Yousef, et al.
Publicado: (2021) -
Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications
por: Daoud, Mohammad Sh., et al.
Publicado: (2022)