Optimization models using various solvers
-
Updated
Jul 27, 2017 - C++
Optimization models using various solvers
Asymmetric multi-depot vehicle routing problems: valid inequalities and a branch-and-cut algorithm
Wolfram Language interface to the Gurobi numerical optimization library
Quadratic Programming and Model Predictive Control Based Trajectory Optimization for platoons of equipped Cooperative Adaptive Cruise Control (CACC) Vehicles
C++/python codes for contact-rich trajectory optimization.
Scheduling maneuvers for the restoration of electric power distribution networks
Computational results and tests of four formulations for the Optimal Communication Spanning Tree problem. We implemented three formulations: Path-based, flow-based, and rooted-based. Moreover, we consider the relaxation (in some variables) of the flow-based formulation. In this project, we adopt the Gurobi optimizer as the solver for the MILP fo…
Minimum Spaning Tree Solutiın with or without constraints using Gurobi Library
This is the official Repository of the infamous PointLabeler. A small framework to solve Point Labeling instances with a selection of heuristic and exact algorithms.
Add a description, image, and links to the gurobi topic page so that developers can more easily learn about it.
To associate your repository with the gurobi topic, visit your repo's landing page and select "manage topics."