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.


Updated Sun, 27 Oct 2019 07:00:57 +0000

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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),

MATLAB Release Compatibility
Created with R2009b
Compatible with any release
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