APOPT
APOPT (for Advanced Process OPTimizer) is a software package for solving large-scale optimization problems of any of these forms:
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]
See also
References
- ↑ 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. 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.
- ↑ Brower, D. (2013). "Advanced Deepwater Monitoring System". OMAE 2013 Proceedings, Nantes, France.
- ↑ Abbott, C. (2012). "New Capabilities for Large-Scale Models in Computational Biology". AIChE Annual Meeting Proceedings, Pittsburgh, PA.
- ↑ 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.
- ↑ Jacobsen, L. (2013). "Model Predictive Control with a Rigorous Model of a Solid Oxide Fuel Cell". American Control Conference (ACC), Washington, DC.
- ↑ Sun, L. (2013). "Optimal Trajectory Generation using Model Predictive Control for Aerially Towed Cable Systems". Journal of Guidance, Control, and Dynamics.
External links
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| QCP / MIQCP∗ solvers | |
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- CSDP
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| NLP / MINLP∗ solvers | |
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| CP solvers | |
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| Metaheuristic solvers | |
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