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...

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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
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