Title
Physics-based search and optimization: Inspirations from nature.
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. Siddique112515.71
Hojjat Adeli22150148.37