Intro to Performance Tuning for Optimization Systems with Gurobi

Speed is key for most users that embed Gurobi into their own application infrastructure. Input data is transformed into high quality planning solutions and results need to be delivered in a timely manner as part of a robust and reliable system architecture. Slow performance of optimization models can in some cases be solved with parameter tuning. However, during the design and the implementation of optimization systems, there are lots of other opportunities for tuning. In this 50-minute long webinar, you will learn how to maximize Gurobi’s performance and discover the most important aspects of performance tuning, including:

  • Tuning opportunities within your system architecture
  • Best practices for code profiling and model performance benchmarks
  • Gurobi parameters and their impact on various model types
  • How to use the automated Gurobi parameter tuning tool

Presenting this webinar is Dr. Kostja Siefen, Technical Account Manager at Gurobi Optimization.

Dr. Siefen holds a Ph.D. in Operations Research from the University of Paderborn, Germany. He has many years of experience in the development and design of decision support systems using mathematical optimization methods.


You can download the materials associated with this webinar here.

Getting Gurobi

Whether you are new to optimization or switching from a competing solver, we've worked hard to make getting started with Gurobi easier for you.

Using Gurobi

To help you be as productive as possible, we offer a detailed reference manual along with numerous code examples and a wide range of videos.


At Gurobi, we provide our customers direct access to PhD-level optimization experts with years of experience working with commercial models.