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Explore how to leverage Google's powerful OR-Tools optimization solvers through Julia's MathOptInterface.jl ecosystem in this conference talk from JuMP-dev 2025. Discover the capabilities of ORTools.jl, a recent package that provides access to Google's open-source optimization solvers including Glop (simplex solver), CP-SAT (award-winning constraint programming solver), and PDLP (first-order solver for large-scale linear programming). Learn about both local and remote solver usage options, enabling problem-solving without local installations through Google Cloud integration. Understand the native constraint programming interface built on MathOptInterface.jl foundations and examine the broader OR-Tools ecosystem including scalable routing solvers for vehicle routing problems and state-of-the-art set-cover solvers. Gain insights into current MathOptInterface.jl capabilities and future development possibilities for specialized optimization problems in the Julia programming environment.
