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To reproduce the analysis, provided in the master thesis, please perform following steps:
- Clone this repository.
- Install the dependencies:
pip install seaborn pandas numpy matplotlib. - Execute the following notebooks:
- analyse_parameter_tuning to check the results of parameter tuning for each meta-heuristic.
- analyze_first_bench to analyze the results of main experiment set, created to verify the proposed concept applicability.
- analyse_second_bench to analyze the influence of modified version BRISEv2 (will be published soon) configuration influence on the performance of created online selection hyper-heuristic with parameter control in low-level heuristics.
Together with the experiment results, this repository, yet partially, contains a source code of the developed system. Mostly it is represented by the created search space representation approach.
The examples of code usage may be found in the corresponding folder.