AMPL at INFORMS Annual Meeting 2022
Join us October 15-19, 2022 at the INFORMS Annual Meeting in Indianapolis.
AMPL will be a Diamond Sponsor and will have a booth in the exhibit area.
Our conference presentations will feature an introduction to model-based optimization,
surveys of exceptional new features, and case studies of AMPL in action:
Learn why the fastest optimization toolchains run AMPL.
Indianapolis Convention Center, Room 106
Speaker: Robert Fourer, AMPL Optimization Inc.
Optimization is the most widely adopted technology of Operations Research and Analytics, but also the most challenging to implement:
In this presentation, we show how AMPL gets you going without elaborate training, extra programmers, or premature commitments. We specially highlight new AMPL features that make optimization modeling faster, easier, and more effective than ever.
We start by introducing model-based optimization, the key approach to streamlining the optimization modeling cycle and building successful applications today. Then we demonstrate how AMPL’s design of a language and system for model-based optimization is able to offer exceptional power of expression and speed of execution while maintaining ease of use.
The presentation continues by taking a single example through successive stages of the optimization modeling lifecycle, highlighting recent enhancements:
Our example is simple enough for participants to follow its development through the course of this short workshop, yet rich enough to serve as a foundation for appreciating model-based optimization in practice. Several case studies of AMPL applications round out the presentation by showing how model-based optimization has been successful in varied areas of analytics practice.
Indiana Convention Center, Wabash 1
Speaker: Robert Fourer, AMPL Optimization Inc.
Optimization has been fundamental to OR and Analytics for as long as there have been computers, yet we are still finding ways to make optimization software more natural to use, faster to run, and easier to integrate with application systems. This presentation offers a quick tour of ways that AMPL’s modeling framework has been enhanced to support optimization in today’s challenging applications. Topics include:
To complement these feature advances, the presentation concludes by describing ways that AMPL is making model-based optimization more accessible, through the new Community Edition, a rewritten NEOS Server client, and free Model Colaboratory examples for teaching and learning optimization.
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