This function uses ES to optimize a function f(x_1,...,x_n). There are a set of 55 test functions to check the effectiveness of the algorithm when optimizing functions.
Feel free to leave comments, corrections or suggestions. Read the comments in the code for more information and bibliography used in the development of this code.
well done, this implementaion is about self adaptation correlated mutation evoluton strategy.
it's was more interesting and complete if it's deal also with other kind of mutation such the uncorrelated mutations ( one step size and individual step size)
Thank you Author.
hi, could you share on how to implement this m file in simulink model for online optimization? i'm having difficulties on this.
sorry, in this code which variable represents optimal decision vector?
Thanks for your feedback ZHANG...
The implementation is very straightforward and good based on my opinion. However, the program becomes slow when tested by n_x=30, mu=lambda=100 after a few hundred generations. This may be the problem of Evolutionary Strategy itself not the implementation.
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