Application of Kaimere project to different optimization tasks. Currently supporty optimization of Simulink models using different optimization techniques (SimulinkOptimizer app).

After you have downloaded sources you need to call sbt assembly.

Do not forget to provide the following flag: -Djava.library.path="..."

You need to specify path to

• maci64 folder of Matlab (for Os X),
• glnxa64 folder of Matlab (for *nix),
• win64 folder of Matlab (for Windows).

Now you can use provided app. Here is the example of calling script:

java -jar -Djava.library.path=<YOUR PATH> Kaimere.jar
     --matlab-engine <PATH TO MATLAB ENGINE.JAR>
     --simulink-model-slx <PATH TO SIMULINK .SLX FILE>
     --simulink-model-json <PATH TO OPTIMIZATION TASK .JSON FILE>
     --optimization-tool <PATH TO .JSON CONFIG FILE OF OPTIMIZATION ALGORITHM>
     --area "a:-100:100" "b:-100:100" ...
     --time 900