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Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
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Pyomo: Accidentally outrunning the bear.

Miranda Mundt1, William E Hart1, Emma S Johnson1

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Summary
This summary is machine-generated.

Pyomo, an open-source optimization software, has evolved significantly since 2008, improving flexibility and community involvement. Its development journey offers insights for other research software projects facing common challenges.

Keywords:
automationdevelopmentopen-sourceoptimizationsoftware

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Area of Science:

  • Computational Science and Engineering
  • Software Engineering
  • Operations Research

Background:

  • Pyomo is an open-source optimization modeling software developed since 2008.
  • Significant evolution has enhanced Pyomo's flexibility, solver integration, and community engagement.
  • Modern collaborative tools have improved Pyomo's development process.

Purpose of the Study:

  • To describe the development journey of Pyomo.
  • To highlight successes and failures in Pyomo's evolution.
  • To share experiences for the benefit of other open-source research software packages.

Main Methods:

  • Leveraging modern collaborative tools for open-source software development.
  • Implementing automated testing and performance-tracking pipelines.
  • Focusing on community engagement and improved development practices.

Main Results:

  • Enhanced flexibility, solver integration, and community engagement in Pyomo.
  • Improved development processes through automated testing and performance tracking.
  • Pyomo has evolved to address challenges typical of research software.

Conclusions:

  • Pyomo's development demonstrates a proactive approach to challenges like resource limitations and knowledge retention.
  • The Pyomo team's commitment to development practices and community engagement is key to its success.
  • Sharing Pyomo's experiences can benefit the broader open-source research software community.