Confusion about link betweek Gekko and APMonitor

[Sarah Maria Oud]

I have currently worked out how to use Gekko purely to write and solve a set of N dynamic ODE's. But this takes very long. 

My questions are:

-What is the differences and similarities between GEKKO and APMonitor.

-I have seen that APM can be used by uploading the model (manually?) to the website by .apm, and since to create my model and stuff i have to use forloops and other functions which i do not know if i can directly write into an .apm file.

-Also Is there any way to run on the APM server? if it is a server. through python directly. 

would that be faster.

-Last question, how to do speed up the runs, currently for my most simple system it takes ~30 min but i do get the correct results.  Is there a way to tell it to parallelize when it can.

Thank you!

Sara

[John Hedengren]

Sara,

 

You can often improve the simulation time by using IMODE=7 (Sequential solution) instead of IMODE=4 (Simultaneous solution). Here are some examples on solving with Gekko:

 

Solve Differential Equations with GEKKO (apmonitor.com)

 

I also recommend that you set disp=False to avoid the extra time for printing to the console when you solve with m.solve(disp=False). Gekko uses APMonitor as the solution engine. It is a newer interface to facilitate easier model construction and visualization of results. There are side-by-side comparisons of code for Python and Matlab in Gekko and APMonitor here: Formulation Strategies (apmonitor.com). Because they both use the same engine, there is typically little difference in performance. You can run without an internet connection in Gekko by using remote=False when you declare your model (m=GEKKO(remote=False)) or you can set up your own server in Windows or Linux: APMonitor Server for Windows and APMonitor Server for Linux. The easiest route to solve locally is to use Gekko either in Python GEKKO Optimization Suite — GEKKO 0.2.8 documentation or Matlab Call Python from MATLAB (apmonitor.com).

 

John Hedengren | Associate Professor

Department of Chemical Engineering | Brigham Young University
330 Engineering Building | Provo, UT 84602 | john.he...@byu.edu

 

BYU PRISM Group: apm.byu.edu

Machine Learning with GEKKO: machinelearning.byu.edu 

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