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Version: 1.9.1

Headless Batch

Getting started​

This headless mode is the Batch one.

The advantage of this mode is how easily it is to prepare and launch, contrarily to the Headless Legacy, this mode does not need any other file than the GAML file holding the experiment of type batch.

You can run your gama experiment with a command similar to this:

./gama-headless.sh [option] -batch experimentName /path/to/file.gaml
  • with:
    • -batch: the flag that indicates it is a batch exploration
    • experimentName: the name of your batch experiment in the following file
    • /path/to/file.gaml: the path (relative or absolute) to the batch experiment

Simulation Output​

Unfortunatly, this mode can't save output data automatically, the actual way to do is saving wanted data inside CSV files from your model.

Calling GAMA headless on Windows​

The example below assumes that your GAMA application is in folder D:\software\ and your project (model) file is in folder D:\my_models\

Windows PowerShell​

  • You can open Windows PowerShell, change your directory to the headless folder and run gama-headless command:
cd D:\software\GAMA_1.9.0_Windows_with_JDK\headless\
.\gama-headless.bat -batch Optimization D:\my_models\predatorPrey\predatorPrey.gaml

Command Prompt​

  • You can open Command Prompt, change your directory to the headless folder and run gama-headless command:
cd D:\software\GAMA_1.9.0_Windows_with_JDK\headless\
gama-headless.bat -batch Optimization D:\my_models\predatorPrey\predatorPrey.gaml

Python Script​

  • Your python script will have the following lines of code, mainly using the os package to run the native system commands
import os
os.chdir("D:\software\GAMA_1.9.0_Windows_with_JDK\headless")
os.system("gama-headless.bat -batch Optimization D:\my_models\predatorPrey\predatorPrey.gaml")