I recently watched an insightful webinar by the AMPL development team. They outlined how optimization technology continues to transform industries and what's coming next year.
Optimization is beneficial not only across airlines, energy grids, finance, and supply chain operations, but also mission-critical. The entire electrical grids in New York and Texas run on AMPL-powered systems. Delta, UPS, and Rio Tinto use AMPL to solve large-scale scheduling and logistics problems. In finance, firms use AMPL clusters to run millions of portfolio optimization scenarios daily, gaining a competitive advantage through speed and scalability.
AMPL's MP framework is what sets it apart. It handles complex reformulations automatically. Data scientists can write models using natural logical constructs, such as implications, conjunctions, and nonlinear operators, without having to reformulate them manually. The system adapts problems for different solvers while maintaining code readability and maintainability.
AMPL is evolving to meet modern development needs. The team released an official Visual Studio Code plugin and discontinued the legacy AMPL IDE, aligning with industry-standard workflows. Integration with Google Colab allows for seamless cloud-based development, which is especially valuable for academic environments.
The AMPL-Py API has been upgraded for better performance, and it now fully supports GPU-powered solvers from Gurobi, FICO Xpress, HiGHS, and COPT for tackling enormous linear programs in energy applications. Perhaps the most exciting development is AMPLbot, an LLM-powered optimization companion that assists with model development, debugging, and learning. Early results show that it outperforms baseline language models for optimization-specific tasks.
AMPL's updated academic licensing program provides students with industry-grade tools and commercial solvers free of charge. Combined with new educational resources, including over 50 realistic case studies in the MOBook and runnable Google Colab examples, the platform offers students genuine industry experience as they learn.
💡 These developments signal an optimization ecosystem that's more accessible, performant, and AI-enabled than ever before for operations research professionals and data scientists.
- AMPL
- AMPL Webinar - What's New at AMPL: Modern Optimization for 2026, (video presentation)
- The fractal image was created using the JavaScript Fractal Explorer program, which was written by James Wilson.
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#Optimization
#DecisionScience
#AMPL
#MachineLearning
