APOPT

APOPT

APOPT

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APOPT (for Advanced Process OPTimizer) is a software package for solving large-scale optimization problems of any of these forms:

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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

  1. [1]
    WO patent 2012005740, Lawson, K. W., Hedengren, J. D., Smith, L. C., "Method for Controlling Bubble Formation in Polymerization Reactors", published 2012-01-12
  2. [2]
    Spivey, B. (2010). "Constrained Nonlinear Estimation for Industrial Process Fouling". Industrial & Engineering Chemistry Research. 49 (17): 7824–7831. doi:10.1021/ie9018116.
  3. [3]
    Nielsen, Isak (2012). Modeling and Control of Friction Stir Welding in 5 cm thick Copper Canisters (M.Sc. thesis). Linköping University.
  4. [4]
    Brower, D. (2012). "Fiber Optic Monitoring of Subsea Equipment" (PDF). OMAE 2012 Proceedings, Rio de Janeiro, Brazil.
  5. [5]
    Brower, D. (2013). "Advanced Deepwater Monitoring System" (PDF). OMAE 2013 Proceedings, Nantes, France.
  6. [6]
    Abbott, C. (2012). "New Capabilities for Large-Scale Models in Computational Biology" (PDF). AIChE Annual Meeting Proceedings, Pittsburgh, PA.
  7. [7]
    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.
  8. [8]
    Jacobsen, L. (2013). "Model Predictive Control with a Rigorous Model of a Solid Oxide Fuel Cell" (PDF). American Control Conference (ACC), Washington, DC.
  9. [9]
    Sun, L. (2013). "Optimal Trajectory Generation using Model Predictive Control for Aerially Towed Cable Systems" (PDF). Journal of Guidance, Control, and Dynamics.
  10. [10]
    Hedengren, J. (2012). "APOPT: MINLP Solver for Differential Algebraic Systems with Benchmark Testing" (PDF). INFORMS Annual Meeting.
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