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Explore applied optimization techniques using JuMP at SINTEF in this 27-minute conference talk. Gain insights into ongoing optimization modeling work at the not-for-profit research institute, focusing on creating flexible and generic optimization frameworks with JuMP and Julia. Examine two highlighted examples: a location and dimensioning model for hydrogen infrastructure and a model for handling circular logistics in the crushed stone and gravel industry. Learn how JuMP can be utilized to develop large-scale optimization models in a modular manner. Discover experimental packages that extend JuMP functionality, including UnitJuMP for using physical units in modeling, SparseVariables for efficient handling of optimization variables with sparse structure, and TimeStruct for flexible time structures. Understand how combining these features with JuMP has led to reduced development time, increased robustness, and improved code reuse through separate and well-tested modules.
