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. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1111/exsy.12185 | Expert Systems |
Keywords | Field | DocType |
Artificial physics optimization,Big Bang-Big Crunch search,black hole search,charged system search,colliding bodies optimization,electromagnetism optimization,galaxy-based search,particle collision algorithm,physics-based algorithm | Data mining,Colliding bodies optimization,Computer science,Electromagnetism,Collision,Black hole,Computational science,Optimization algorithm,Galaxy | Journal |
Volume | Issue | ISSN |
33 | 6 | 0266-4720 |
Citations | PageRank | References |
0 | 0.34 | 37 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nazmul H. Siddique | 1 | 125 | 15.71 |
Hojjat Adeli | 2 | 2150 | 148.37 |