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This is a source code of the proposed evolutionary-based algorithm for simultaneous tuning hyper-parameters of ML algorithm and the used set of features

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VakhninAleksei/GA-SHADE

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Please, if you would like to use the GA-SHADE algorithm, put the following reference: Vakhnin, A.; Ryzhikov, I.; Brester, C.; Niska, H.; Kolehmainen, M. Weather-Based Prediction of Power Consumption in District Heating Network: Case Study in Finland. Energies 2024, 17, 2840. https://doi.org/10.3390/en17122840 https://www.mdpi.com/1996-1073/17/12/2840

GA-SHADE This is a source code of the proposed evolutionary-based algorithm, GA-SHADE, for simultaneously tuning hyper-parameters of an ML algorithm and the used set of features. As an example, Decision tree regression was taken to be optimized using GA-SHADE.

The folder with the results of the numerical experiments has been uploaded.

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This is a source code of the proposed evolutionary-based algorithm for simultaneous tuning hyper-parameters of ML algorithm and the used set of features

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