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Scripting Custom Workflows

In: Pyomo — Optimization Modeling in Python

Author

Listed:
  • Michael L. Bynum

    (Sandia National Laboratories)

  • Gabriel A. Hackebeil

    (Deepfield Nokia)

  • William E. Hart

    (Sandia National Laboratories)

  • Carl D. Laird

    (Sandia National Laboratories)

  • Bethany L. Nicholson

    (Sandia National Laboratories)

  • John D. Siirola

    (Sandia National Laboratories)

  • Jean-Paul Watson

    (Lawrence Livermore National Laboratory)

  • David L. Woodruff

    (University of California)

Abstract

This chapter illustrates the use of Python with Pyomo for solution analysis and the development of custom workflows or high-level meta-algorithms. For example, the chapter shows how to access variable and objective values, add and remove constraints, and iterate over model components. This chapter also contains some larger examples, to illustrate how Pyomo users can go beyond the basics and develop custom solution and analysis strategies.

Suggested Citation

  • Michael L. Bynum & Gabriel A. Hackebeil & William E. Hart & Carl D. Laird & Bethany L. Nicholson & John D. Siirola & Jean-Paul Watson & David L. Woodruff, 2021. "Scripting Custom Workflows," Springer Optimization and Its Applications, in: Pyomo — Optimization Modeling in Python, edition 3, chapter 0, pages 67-81, Springer.
    • Handle: RePEc:spr:spochp:978-3-030-68928-5_5
    DOI: 10.1007/978-3-030-68928-5_5
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