Physics-based search and optimization: Inspirations from nature

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 s...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Expert systems Jg. 33; H. 6; S. 607 - 623
Hauptverfasser: Siddique, Nazmul, Adeli, Hojjat
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Blackwell Publishing Ltd 01.12.2016
Schlagworte:
Algorithms
Artificial physics optimization
Big Bang-Big Crunch search
black hole search
Charged particles
charged system search
colliding bodies optimization
Collision dynamics
Electromagnetism
electromagnetism optimization
Expert systems
Galaxies
galaxy-based search
Inspiration
Optimization
Optimization algorithms
particle collision algorithm
Particle collisions
Physics
physics-based algorithm
Searching
Studies
ISSN:0266-4720, 1468-0394
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
Bibliographie:ark:/67375/WNG-CD7ZJKLZ-B
ArticleID:EXSY12185
istex:03BB2960789253DD06F0DA343C34B6804A874637
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
ISSN:0266-4720
1468-0394
DOI:10.1111/exsy.12185