Proceedings of the 9th International Workshop on Equation-based Object-oriented Modeling Languages and Tools

An on-going and major problem faced by information systems developers and business users alike is reaching a clear and consensual understanding of the system by both groups. This can be difficult because the businesses are (typically) process driven, while the systems are (increasingly) object-oriented. Enter modeling. Modeling is one way of presenting complex information in a way that enhances or eases understanding. But, even models can be extremely complex, and the underlying tools and modeling languages are not any less complex. This chapter investigates the possibility that modeling languages can be simplified by considering that not all of the “words” in the language are used all of the time. If theoretical (maximum) represents all the words in a modeling language, then this chapter suggests that there might exist a more use-based (we name it practical complexity) subset that represents an easier to learn and use subcomponent of the language.

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GEKKO Optimization Suite

Processes ◽

10.3390/pr6080106 ◽

2018 ◽

Vol 6 (8) ◽

pp. 106 ◽

Cited By ~ 27

Author(s):

Logan Beal ◽

Daniel Hill ◽

R. Martin ◽

John Hedengren

Keyword(s):

Optimal Control ◽

Optimization Problems ◽

Object Oriented ◽

Differential Algebraic Equations ◽

Mixed Integer ◽

Modeling Languages ◽

Algebraic Equations ◽

Simulation And Optimization ◽

Algebraic Modeling Languages ◽

Real Time Optimization

This paper introduces GEKKO as an optimization suite for Python. GEKKO specializes in dynamic optimization problems for mixed-integer, nonlinear, and differential algebraic equations (DAE) problems. By blending the approaches of typical algebraic modeling languages (AML) and optimal control packages, GEKKO greatly facilitates the development and application of tools such as nonlinear model predicative control (NMPC), real-time optimization (RTO), moving horizon estimation (MHE), and dynamic simulation. GEKKO is an object-oriented Python library that offers model construction, analysis tools, and visualization of simulation and optimization. In a single package, GEKKO provides model reduction, an object-oriented library for data reconciliation/model predictive control, and integrated problem construction/solution/visualization. This paper introduces the GEKKO Optimization Suite, presents GEKKO’s approach and unique place among AMLs and optimal control packages, and cites several examples of problems that are enabled by the GEKKO library.

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