Английская Википедия:Gurobi Optimizer

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Версия от 16:39, 17 марта 2024; EducationBot (обсуждение | вклад) (Новая страница: «{{Английская Википедия/Панель перехода}} {{Short description|Optimization solver}} {{Infobox company | name = Gurobi Optimizer | type = Private | industry = Mathematical Optimization, Prescriptive Analytics, Decision Intelligence | founded = 2008 | hq_location = Beaverton, Oregon | key_people = Dr. Zonghao Gu, Dr. Edward Rothberg, and Dr. Robert Bixby | website = https://www.gurobi.com/ }} '''Gurobi Optimizer''' is a [...»)
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Шаблон:Short description

Шаблон:Infobox company

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 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.[11][12]

References

Шаблон:Reflist