Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
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Updated
Mar 21, 2023 - Julia
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Linear optimization software
A Julia/JuMP-based Global Optimization Solver for Non-convex Programs
General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
Represent trained machine learning models as Pyomo optimization formulations
A JuMP-based Nonlinear Integer Program Solver
Branch-and-Price-and-Cut in Julia
A solver for mixed-integer convex optimization
Derivative-Free Optimization Method for Global Optimization (C++)
Certifiable Outlier-Robust Geometric Perception
Julia interface to SCIP solver
An open-source parallel optimization solver for structured mixed-integer programming
Model Predictive Control of a Flappy Bird Clone using Mixed Integer Programming
Python implementation to solve Vehicle Routing problem & Master Production Scheduling in Supply Chain Analytics & Design.
Minotaur Toolkit for Mixed-Integer Nonlinear Optimization
A predictive model to help Uber drivers make more money
BCP-MAPF – branch-and-cut-and-price for multi-agent path finding
A Julia/JuMP Package for Optimal Quantum Circuit Design
Solving a Capacitated Vehicle Routing Problem with time windows constraints (CVRPTW) with Mixed Integer Linear Programming (MILP) in python-gurobi API.
Mixed Integer Linear and Quadratic Programming in R
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