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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.
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VictorAtPL/random-global-optimization-methods
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More results, details of implementations and values of hiperparameters available in theFinal Report.
Please note thatSimulated Annealing is not presented on the plots, but it is implemented.
The framework of Java code is based on [1]. Also,Monte Carlo and vanillaHill Climbing algorithms were ported from that repo.[1]https://bitbucket.org/pl-edu-pw-mini-optimization/tutorials/src/master/dotnet/
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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.
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