| Affiliation: | 1. School of Computing and Intelligent Systems, Ulster University, Londonderry, UK;2. Department of Biomedical Engineering, The Ohio State University, Columbus, OH, USA;3. Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA;4. Department of Civil, Environmental, and Geodetic Engineering, The Ohio State University, Columbus, OH, USA;5. Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA;6. Department of Neuroscience, The Ohio State University, Columbus, OH, USA;7. Department of Neurology, The Ohio State University, Columbus, OH, USA |
| Abstract: | This paper presents a review of recently developed physics‐based search and optimization algorithms that have been inspired by natural phenomena. They include Big Bang–Big Crunch, black hole search, galaxy‐based search, artificial physics optimization, electromagnetism optimization, charged system search, colliding bodies optimization, and particle collision algorithm. |
