292 results for “topic:mixed-integer-programming”
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Linear optimization software
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
NVIDIA cuOpt examples for decision optimization
Represent trained machine learning models as Pyomo optimization formulations
Efficient modeling interface for mathematical optimization in Python
A Julia/JuMP-based Global Optimization Solver for Non-convex Programs
A Julia interface to the Gurobi Optimizer
General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
Branch-and-Price-and-Cut in Julia
A JuMP-based Nonlinear Integer Program Solver
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
A solver for mixed-integer convex optimization
A Julia interface to the CPLEX solver
Certifiable Outlier-Robust Geometric Perception
Julia interface to SCIP solver
Hands-on course about linear programming and mathematical optimization.
Humble 3D knapsack / bin packing solver
Solving the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) using Mixed Integer Linear Programming (MILP) in Python with the Gurobi API.
BCP-MAPF – branch-and-cut-and-price for multi-agent path finding
An open-source parallel optimization solver for structured mixed-integer programming
Rust interface for SCIP
Python API for AMPL
A Julia interface to the Coin-OR Branch and Cut solver (CBC)
Exact solutions for two-dimensional bin packing problems by branch-and-cut
Minotaur Toolkit for Mixed-Integer Nonlinear Optimization
A Julia interface to the Artelys Knitro solver
Python implementation to solve Vehicle Routing problem & Master Production Scheduling in Supply Chain Analytics & Design.
A Julia interface to the FICO Xpress Optimization suite
Multiobjective black-box optimization using gradient-boosted trees