Gekko Optimization Suite

Stable release of Gekko and the APMonitor engine. Gekko is optimization software for mixed-integer and differential algebraic equations with applications to machine learning, data science, and physics-based modeling. 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.

Python Gekko v0.2.8

Improvements to documentation and a bug fix.

Python Gekko v0.2.7

New gekko functions and features.

Python Gekko v0.2.6

New local solve MacOS APM, integral function, and fix for IPython Windows local mode.

Python Gekko v0.2.5

Improvements to Gekko model building functions.

Python Gekko v0.2.4

APM v0.9.2 Linux

No IPOPT solver

Machine learning and Chemical Flowsheets

Added machine learning https://gekko.readthedocs.io/en/latest/brain.html documentation and chemical flowsheet class with documentation https://gekko.readthedocs.io/en/latest/chemical.html

Version 0.2.1

Support for local MacOS solve in addition to Windows, Linux (ARM and x86) with APOPT and BPOPT solvers

Version 0.2.0

New objects for advanced mathematical optimization and updated APMonitor local mode (v0.8.9) for Linux, ARM, and Windows.

Version 0.2rc6

New object support including if3 (conditional statement in optimization), axb (solves Ax=b, Ax<b, or Ax>b dense or sparse matrices), and qobj (quadratic objective function in sparse or dense form).