APOPT (for Advanced Process OPTimizer) is a software package for solving large-scale optimization problems of any of these forms:
- Linear programming (LP)
- Quadratic programming (QP)
- Quadratically constrained quadratic program (QCQP)
- Nonlinear programming (NLP)
- Mixed integer programming (MIP)
- Mixed integer linear programming (MILP)
- Mixed integer nonlinear programming (MINLP)
| Developer(s) | Advanced Process Solutions, LLC |
|---|---|
| Stable release | 1.0.4
/ October 1, 2021 |
| Operating system | Cross-Platform |
| Type | Technical computing |
| License | Proprietary |
| Website | apopt |
Applications of the APOPT include chemical reactors,[1][2] friction stir welding,[3] prevention of hydrate formation in deep-sea pipelines,[4][5] computational biology,[6] solid oxide fuel cells,[7][8] and flight controls for Unmanned Aerial Vehicles (UAVs).[9]
Benchmark Testing
editStandard benchmarks such as CUTEr and SBML curated models are used to test the performance of APOPT relative to solvers BPOPT, IPOPT, SNOPT, and MINOS. A combination of APOPT (Active Set SQP) and BPOPT (Interior Point Method) performed the best on 494 benchmark problems for solution speed and total fraction of problems solved.[10]
See also
editReferences
edit- ^ WO patent 2012005740, Lawson, K. W., Hedengren, J. D., Smith, L. C., "Method for Controlling Bubble Formation in Polymerization Reactors", published 2012-01-12
- ^ Spivey, B. (2010). "Constrained Nonlinear Estimation for Industrial Process Fouling". Industrial & Engineering Chemistry Research. 49 (17): 7824–7831. doi:10.1021/ie9018116.
- ^ Nielsen, Isak (2012). Modeling and Control of Friction Stir Welding in 5 cm thick Copper Canisters (M.Sc. thesis). Linköping University.
- ^ Brower, D. (2012). "Fiber Optic Monitoring of Subsea Equipment" (PDF). OMAE 2012 Proceedings, Rio de Janeiro, Brazil.
- ^ Brower, D. (2013). "Advanced Deepwater Monitoring System" (PDF). OMAE 2013 Proceedings, Nantes, France.
- ^ Abbott, C. (2012). "New Capabilities for Large-Scale Models in Computational Biology" (PDF). AIChE Annual Meeting Proceedings, Pittsburgh, PA.
- ^ Spivey, B. (2010). "Dynamic Modeling of Reliability Constraints in Solid Oxide Fuel Cells and Implications for Advanced Control" (PDF). AIChE Annual Meeting Proceedings, Salt Lake City, Utah.
- ^ Jacobsen, L. (2013). "Model Predictive Control with a Rigorous Model of a Solid Oxide Fuel Cell" (PDF). American Control Conference (ACC), Washington, DC.
- ^ Sun, L. (2013). "Optimal Trajectory Generation using Model Predictive Control for Aerially Towed Cable Systems" (PDF). Journal of Guidance, Control, and Dynamics. 37 (2): 525. Bibcode:2014JGCD...37..525S. doi:10.2514/1.60820.
- ^ Hedengren, J. (2012). "APOPT: MINLP Solver for Differential Algebraic Systems with Benchmark Testing" (PDF). INFORMS Annual Meeting.
External links
edit- Official website
- Web interface to solve optimization problems with the APOPT solver
- Download APOPT for AMPL, MATLAB, Julia, Python, or APMonitor