Physics-based search and optimization: Inspirations from nature

Physics-based search and optimization: Inspirations from nature

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Article ID: iaor20165045
Volume: 33
Issue: 6
Start Page Number: 607
End Page Number: 623
Publication Date: Dec 2016
Journal: Expert Systems
Authors: ,
Keywords: physics-based systems
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.

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