Manta ray foraging optimization (MRFO)
Manta ray foraging optimization (MRFO) is a new bio-inspired optimization algorithm for solving optimization problems.
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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.
Acknowledgements
Inspired: Attacking Manta Ray foraging optimization (AMRFO) SourceCode
General Information
- Version 1.0.1 (4.5 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
