Grey Wolf Optimizer for Training Multi-Layer Perceptrons

The submission employs the recently proposed Grey Wolf Optimizer for training Multi-Layer Perceptron
Updated 22 May 2018

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Grey Wolf Optimizer (GWO) is employed as a trainer for Multi-Layer Perceptron (MLP). The current source codes are the demonstration of the GWO trainer for solving the "Iris" classification problem.
This is the demonstration source codes of the paper:
S. Mirjalili, How effective is the GreyWolf optimizer in training multi-layer perceptrons, Applied Intelligence, In press, 2015, DOI:

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Cite As

Seyedali Mirjalili (2024). Grey Wolf Optimizer for Training Multi-Layer Perceptrons (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011b
Compatible with any release
Platform Compatibility
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