### Install SHADE-ILS Dependencies

Source: https://github.com/dmolina/shadeils/blob/master/README.md

This command creates a virtual environment named 'venv' and installs all required Python dependencies for the SHADE-ILS project. It is the recommended way to set up the development environment.

```Shell
source install.sh
```

--------------------------------

### Display SHADE-ILS Command Line Options

Source: https://github.com/dmolina/shadeils/blob/master/README.md

This command shows a detailed description of all available optional parameters for the shadeils.py script, including their purpose and usage.

```Shell
python shadeils.py -h
```

--------------------------------

### Python Project Dependency List

Source: https://github.com/dmolina/shadeils/blob/master/requirements.txt

Lists the exact Python packages and their versions that are required for the project '/dmolina/shadeils'. This ensures a reproducible environment for development and deployment.

```Python
cec2013lsgo==2.1
numpy==1.15.0rc2
pandas==0.23.3
python-dateutil==2.7.3
pytz==2018.5
scipy==1.1.0
six==1.11.0
```

--------------------------------

### Run SHADE-ILS with CEC'2013 Benchmark Functions

Source: https://github.com/dmolina/shadeils/blob/master/README.md

Execute the SHADE-ILS algorithm using the CEC'2013 benchmark. Users must specify the function number (1-15) and a seed value (1-5). An optional run number can also be provided for multiple evaluations.

```Shell
python shadeils -f <function> -s <seed> [-r <run>] ...
```

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