GEKKO Optimization Suite

Overview

GEKKO is optimization software for mixed-integer and differential algebraic equations. It is coupled with large-scale solvers for linear, quadratic, nonlinear, and mixed integer programming (LP, QP, NLP, MILP, MINLP). Modes of operation include data reconciliation, real-time optimization, dynamic simulation, and nonlinear predictive control. GEKKO is an object-oriented python library to facilitate local execution of APMonitor.

More of the backend details are available at What does GEKKO do? and in the GEKKO Journal Article

Beal, L.D.R., Hill, D., Martin, R.A., and Hedengren, J. D., GEKKO Optimization Suite, Processes, Volume 6, Number 8, 2018, doi: 10.3390/pr6080106.

Installation

A pip package is available:

pip install gekko

The most recent version is 0.1. You can upgrade from the command line with the upgrade flag:

pip install --upgrade gekko

Citing GEKKO

If you use GEKKO in your work, please cite the following paper:

``` @article{beal2018gekko,

title={GEKKO Optimization Suite}, author={Beal, Logan and Hill, Daniel and Martin, R and Hedengren, John}, journal={Processes}, volume={6}, number={8}, pages={106}, year={2018}, publisher={Multidisciplinary Digital Publishing Institute}

}

Overview of GEKKO