Join us April 15-17, 2018 at the
Marriott Waterfront Hotel, Baltimore.
AMPL is a Gold-Level sponsor and is exhibiting at booth #23.
See our Technology Workshop and Technology Tutorial.
Baltimore Marriott Waterfront Hotel, Meeting room Kent B
Model-Based Optimization, Plain and Simple:
From Formulation to Deployment with AMPL
Optimization is the most widely adopted technology of Prescriptive 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 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 while maintaining ease of use.
The remainder of the presentation takes a single example through successive stages of the optimization modeling lifecycle:
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.
Baltimore Marriott Waterfront Hotel, Meeting room Falkland
AMPL in the Cloud:
Using Online Services to Develop and Deploy Optimization
Applications through Algebraic Modeling
Cloud services promising “optimization on demand” have become steadily more numerous and more powerful in recent years. This presentation offers a user-oriented survey, with a focus on the role of the AMPL modeling language in streamlining development and deployment of optimization models using online tools. Starting with the pioneering free NEOS Server, we compare more recent commercial offerings such as Gurobi Instant Cloud and the Satalia SolveEngine; the benefits of these solver services are enhanced through their use with AMPL’s algebraic modeling facilities. We conclude by introducing QuanDec, which turns AMPL models into web-based collaborative decision-making tools.