Manta ray foraging optimization (MRFO)

Version 1.0.1 (4.5 KB) by W. Zhao
Manta ray foraging optimization (MRFO) is a new bio-inspired optimization algorithm for solving optimization problems.
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Updated 27 Oct 2019

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Manta ray foraging optimization (MRFO) is a new optimization approach for global optimization problems. MRFO mathematically models and mimics three unique foraging strategies of manta rays, including chain foraging, cyclone foraging, and somersault foraging. The algorithm is simple and easy to implement.

Cite As

W. Zhao, Z. Zhang and L. Wang, Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications. Engineering Applications of Artifical Intelligence (2019), https://dio.org/10.1016/j.engappai.2019.103300.

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Created with R2009b
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1.0.1

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