Software:APOPT
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Revision as of 17:24, 16 May 2022 by imported>Jworkorg (fix)
| 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 |
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)
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
Standard 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
References
- ↑ Lawson, K. W., Hedengren, J. D., Smith, L. C., "Method for Controlling Bubble Formation in Polymerization Reactors", WO patent 2012005740, 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". OMAE 2012 Proceedings, Rio de Janeiro, Brazil. http://apm.byu.edu/prism/uploads/Members/hedengren_omae2012.pdf.
- ↑ Brower, D. (2013). "Advanced Deepwater Monitoring System". OMAE 2013 Proceedings, Nantes, France. http://apm.byu.edu/prism/uploads/Members/hedengren_omae2013.pdf.
- ↑ Abbott, C. (2012). "New Capabilities for Large-Scale Models in Computational Biology". AIChE Annual Meeting Proceedings, Pittsburgh, PA. http://apm.byu.edu/prism/uploads/Members/abbott_aiche12.pdf.
- ↑ Spivey, B. (2010). "Dynamic Modeling of Reliability Constraints in Solid Oxide Fuel Cells and Implications for Advanced Control". AIChE Annual Meeting Proceedings, Salt Lake City, Utah. http://apm.byu.edu/prism/uploads/Members/spivey_ppt_acc2012.pdf.
- ↑ Jacobsen, L. (2013). "Model Predictive Control with a Rigorous Model of a Solid Oxide Fuel Cell". American Control Conference (ACC), Washington, DC. http://apm.byu.edu/prism/uploads/Members/powell_acc2013.pdf.
- ↑ Sun, L. (2013). "Optimal Trajectory Generation using Model Predictive Control for Aerially Towed Cable Systems". Journal of Guidance, Control, and Dynamics. http://apm.byu.edu/prism/uploads/Members/sun_2013.pdf.
- ↑ Hedengren, J. (2012). "APOPT: MINLP Solver for Differential Algebraic Systems with Benchmark Testing". INFORMS Annual Meeting. https://apm.byu.edu/prism/uploads/Members/minlp_apopt_informs2012.pdf.
External links
- Web interface to solve optimization problems with the APOPT solver
- Download APOPT for AMPL, MATLAB, Julia, Python, or APMonitor
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