The gray wolf algorithm optimizes ICEEMDAN parameters, and four fitness functions can be switched arbitrarily, including minimum envelope entropy, sample entropy, information entropy, and permutation entropy...

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The gray wolf algorithm optimizes ICEEMDAN parameters, and four fitness functions can be switched arbitrarily, including minimum envelope entropy, sample entropy, information entropy, and permutation entropy...

The running speed is finally faster! Optimize VMD parameters, switch between five fitness functions at will, minimum envelope entropy, sample entropy, information entropy, permutation entropy, permutation entropy/mutual information entropy...

Why does VMD need parameter optimization, minimum envelope entropy, sample entropy, permutation entropy, information entropy, which fitness function should I choose?

Gray wolf optimization algorithm GWO, optimized VMD, fitness function is minimum sample entropy or minimum envelope entropy (you can choose by yourself, the code has been integrated, it is easy to modify) MATLAB source code is included

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