Company:Gurobi Optimizer
| Type | Private |
|---|---|
| Industry | Mathematical Optimization, Prescriptive Analytics, Decision Intelligence |
| Founded | 2008 |
| Headquarters | Beaverton, Oregon |
Key people | Dr. Zonghao Gu, Dr. Edward Rothberg, and Dr. Robert Bixby |
| Website | https://www.gurobi.com/ |
Gurobi Optimizer is a prescriptive analytics platform and a decision-making technology developed by Gurobi Optimization, LLC. The Gurobi Optimizer (often referred to as simply, “Gurobi”) is a solver, since it uses mathematical optimization to calculate the answer to a problem.
Gurobi is included in the Q1 2022 inside BIGDATA “Impact 50 List” as an honorable mention.[1]
History
Dr. Zonghao Gu, Dr. Edward Rothberg, and Dr. Robert Bixby founded Gurobi in 2008, coming up with the name by combining the first two initials of their last names.[2] Gurobi is used for linear programming (LP), quadratic programming (QP), quadratically constrained programming (QCP), mixed integer linear programming (MILP), mixed-integer quadratic programming (MIQP), and mixed-integer quadratically constrained programming (MIQCP).[3][4]
In 2016, Dr. Bistra Dilkina from Georgia Tech discussed how it uses Gurobi in the field of computational sustainability, to optimize movement corridors for wildlife, including grizzly bears and wolverines in Montana.[5]
In 2018, The New York Times reported that the U.S. Census Bureau used Gurobi to conduct census block reconstruction experiments, as part of an effort to reduce privacy risks.[6]
Since 2019, Gurobi is used by National Football League (NFL) to build its game schedule each year.[7][8]
In 2020, Gurobi has partnered with GE Digital GE Grid Solutions, the University of Florida, and Cognitive Analytics on a project for planning and scheduling day-ahead electricity supply.[9]
In 2021, DoorDash used Gurobi, in combination with machine learning, to solve dispatch problems.[10]
In 2022, CIOReview featured Gurobi and its impact on the telecommunications industry.[11]
In 2023, Air France used Gurobi to power its decision-support tool, which recommends optimal flight and aircraft assignments and can take constraints like fuel consumption and an aircraft’s flying hours into account.[12][13]
References
- ↑ Gutierrez, Daniel (2022-01-10). "The insideBIGDATA IMPACT 50 List for Q1 2022" (in en-US). https://insidebigdata.com/2022/01/10/the-insidebigdata-impact-50-list-for-q1-2022/.
- ↑ INFORMS. "Gurobi Optimization" (in en-US). https://www.informs.org/Impact/O.R.-Analytics-Success-Stories/Industry-Profiles/Gurobi-Optimization.
- ↑ Analytics, Opex (2019-11-13). "Optimization Modeling in Python: PuLp, Gurobi, and CPLEX" (in en). https://medium.com/opex-analytics/optimization-modeling-in-python-pulp-gurobi-and-cplex-83a62129807a.
- ↑ "Using the Gurobi Optimizer Solvers on the Eagle System" (in en). https://www.nrel.gov/hpc/eagle-software-gurobi.html.
- ↑ "Computing cost-effective wildlife corridors" (in en-US). 2016-11-11. https://news.mongabay.com/2016/11/computing-cost-effective-wildlife-corridors/.
- ↑ Hansen, Mark (2018-12-05). "To Reduce Privacy Risks, the Census Plans to Report Less Accurate Data" (in en-US). The New York Times. ISSN 0362-4331. https://www.nytimes.com/2018/12/05/upshot/to-reduce-privacy-risks-the-census-plans-to-report-less-accurate-data.html.
- ↑ "Meet the minds behind the 2019 NFL schedule: Mike North and Charlotte Carey" (in en-US). https://www.nfl.com/videos/meet-the-minds-behind-the-2019-nfl-schedule-mike-north-and-charlotte-care-428501.
- ↑ "An Introduction to the National Football League Scheduling Problem using". https://www.math.cmu.edu/~af1p/Teaching/OR2/Projects/P56/OR-Final-Paper.pdf.
- ↑ "High-Performance Computing Helps Grid Operators Manage Increasing Complexity | PNNL". https://www.pnnl.gov/news-media/high-performance-computing-helps-grid-operators-manage-increasing-complexity.
- ↑ Shenwai, Tanushree (2021-08-23). "How DoorDash Uses Machine Learning ML And Optimization Models To Solve Dispatch Problem" (in en-US). https://www.marktechpost.com/2021/08/23/how-doordash-uses-machine-learning-ml-and-optimization-models-to-solve-dispatch-problem/.
- ↑ "Gurobi Optimization: Better Business Decisions with Mathematical Optimization" (in en). https://www.cioreview.com/gurobi-optimization.
- ↑ Lin, Belle. "Startups Want to Help Airlines Prevent Tech Meltdowns" (in en-US). https://www.wsj.com/articles/startups-want-to-help-airlines-prevent-tech-meltdowns-11673652512.
- ↑ Lin, Belle. "Southwest Meltdown Shows Airlines Need Tighter Software Integration" (in en-US). https://www.wsj.com/articles/southwest-meltdown-shows-airlines-need-tighter-software-integration-11672687980.
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