Created by: EPA1361 Group 7
| Name | Student Number |
|---|---|
| Madison Berry | 5634431 |
| Michiel van Dalsum | 4647556 |
| Rhys Evans | 5633273 |
| Morris Huang | 5487781 |
| Matvei Isaenko | 5618053 |
| Bo de Vries | 4728823 |
The report can be found at final_assignment/report/EPA1361_MBDM_G1_Report.pdf in the report directory.
To run the model processes, navigate to the following Jupyter Notebook files in the final assignment directory:
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00_0_Open_Exploration_Scenarios.ipynb: This file conducts open exploration across scenarios given a policy where no levers are applied.
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00_1_Open_Exploration_Levers.ipynb: This file conducts open exploration across the levers given a baseline scenario. The baseline scenario is defined as the average of the range for each uncertainty.
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01_0_Directed_Search.ipynb: This file conducts a directed search across policies given a scenario. Three scenarios are defined. The scenario is determined with the case number.
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02_Directed_Search_Merged_Outputs.ipynb: Directed Search outputs from baseline, worstcase, and bestcase merged In this file we perform a large number of scenarios on the policies obtained from the previous step.
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03_Directed_Search_Scoring_Filtering.ipynb: Directed Search This file merges the outputs from the previous baseline, worst case and best case runs and does rudiminary visualisations on them.
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04_Directed_Search_Scoring.ipynb: Directed Search In this final file we calculate the different robustness scores to select a final policy set.
The outputs from the model can be found in the directed_search, open_exploration, and optimization_moro folders in the output directory.
The input data can be found at dikeIjssel_alldata.xlsx in the data directory.
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data: Input data for the data cleaning and the model
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output: Output data from the model for open exploration and directed search
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preliminary_experiments: Preliminary experiments including moro optimization
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report: Report prepared for the Transport Company including a policy recommendation and political reflection