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Genetic algorithms Comparison project

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Project you are required to compare a DE algorithm with CMA-ES on a set of 10 test functions:

    you can use any Differential Evolution or CMA-ES implementation you want;
    you can choose any functions and set the search domain to whatever you want, but use at least two dimensions;
    you have to set the parameters of DE and CMA-ES in a fair manner;
    you may have to use different parameter settings for different functions...

Please create a report of your results containing information about:

    the implementations that you have used (with references/links);
    the functions (definitions, domain);
    parameters used for each method and each function;
    numerical results with information regarding the final results, the evolution of the search, the duration, statistical significance of differences -  presented as tables and/or plots (see recording/notebook of this class);
    conclusions regarding the performance of the two methods.