https://github.com/drvinceknight/heterogeneousambulancefleetallocations

Code for optimising ambulance allocation
https://github.com/drvinceknight/heterogeneousambulancefleetallocations

Last synced: about 1 month ago
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Code for optimising ambulance allocation

• Host: GitHub
• URL: https://github.com/drvinceknight/heterogeneousambulancefleetallocations
• Owner: drvinceknight
• License: mit
• Created: 2023-05-30T10:52:28.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-08-12T15:22:27.000Z (5 months ago)
• Last Synced: 2024-08-13T13:40:00.850Z (4 months ago)
• Language: Jupyter Notebook
• Size: 28.3 MB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# upgraded-octo-barnacle

Source code for the optimisation problem presented in the paper *Evaluating

Heterogeneous Ambulance Fleet Allocations in Jakarta*.

## Creating a virtual environment

```bash

$ python -m venv env/

```

Activate environment:

```bash

$ source env/bin/activate

```

Install all dependencies (including development)

```bash

$ python -m pip install -r requirements.txt

```

## Running an experiment

To run the experiments from the root of this repository with:

 - total_primary=70

 - total_secondary=26

 - max_primary=10

 - max_secondary=10

 - population_size=240

 - keep_size=40

 - number_of_iterations=500

 - initial_number_of_mutation_repetitions=6

 - cooling_rate=0.25

 - demand_scenario=13

 - scenario_id=33333

 - num_workers=62

Run:

```bash

$ python src/experiment.py 70 26 10 10 240 40 500 6 0.25 13 33333 62

```

To also implement a progress bar across the iterations, run:

```bash

$ python src/experiment.py 70 26 10 10 240 40 500 6 0.25 13 33333 62 --progress_bar

```