In this webinar, we present the Gurobi OptiMods: an open-source Python repository of optimization use cases implemented using gurobipy. The OptiMods allow users to quickly apply optimization to solve a specific problem in their field of interest via intuitive, data-driven APIs.
We will provide an overview of the goals and design of the project, and demonstrate how several of the current set of Mods can be used. Finally, we will outline how the community can contribute additional use-cases or extensions to the project in future.
Additional Resources:
Software Developer
Software Developer
Dr. Simon Bowly completed his PhD in 2019 at the University of Melbourne, focusing on generating difficult test cases for optimization algorithms. Simon has previously lectured in applied data science and discrete optimization at Monash University, worked in optimization consulting for transport and logistics projects and developed software for real time analytics in power generation applications.
Principal Developer
Principal Developer
Dr. Luce is an experienced researcher in applied mathematics, and author of numerous publications in the fields of numerical linear algebra and optimization. He holds a Ph.D. from Technical University of Berlin.
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