VictorAtPL / random-global-optimization-methods

Java (optimization) and Python (hypertuning, plots) code with implementation of many global random optimization methods written as part of my MSc in Data Science degree.

Results

More results, details of implementations and values of hiperparameters available in the Final Report.

Please note that Simulated Annealing is not presented on the plots, but it is implemented.

Attribution

The framework of Java code is based on [1]. Also, Monte Carlo and vanilla Hill Climbing algorithms were ported from that repo. [1] https://bitbucket.org/pl-edu-pw-mini-optimization/tutorials/src/master/dotnet/