Manta ray foraging optimization (MRFO)

Versión 1.0.1 (4,5 KB) por W. Zhao

Manta ray foraging optimization (MRFO) is a new bio-inspired optimization algorithm for solving optimization problems.

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Actualizado 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.

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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.

Compatibilidad con la versión de MATLAB

Se creó con R2009b

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Inspiración para: Attacking Manta Ray foraging optimization (AMRFO) SourceCode

Versión	Publicado	Notas de la versión
1.0.1	27 oct 2019	Add a file	Descargar
1.0.0	27 oct 2019		Descargar