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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Bibliographic Details
Published in:Expert systems Vol. 33; no. 6; pp. 607 - 623
Main Authors: Siddique, Nazmul, Adeli, Hojjat
Format: Journal Article
Language:English
Published: Oxford Blackwell Publishing Ltd 01.12.2016
Subjects:
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 Access:Get full text
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Description
Summary: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.
Bibliography:ark:/67375/WNG-CD7ZJKLZ-B
ArticleID:EXSY12185
istex:03BB2960789253DD06F0DA343C34B6804A874637
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ObjectType-Article-1
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ISSN:0266-4720
1468-0394
DOI:10.1111/exsy.12185