General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

A JuMP-based Nonlinear Integer Program Solver

A solver for mixed-integer convex optimization

An open-source parallel optimization solver for stochastic mixed-integer programming

A predictive model to help Uber drivers make more money

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 scala library for IBM ILOG CPLEX

Mixed Integer Linear and Quadratic Programming in R

Lossless convexification new results (mixed-integer problems)

BCP-MAPF – branch-and-cut-and-price for multi-agent path finding

Data-Driven Decision Making under Uncertainty in Matrix

FPBH: A Feasibility Pump based Heuristic for Multi-objective Mixed Integer Linear Programming

Python code for computation and experimentation with cut-generating functions, in particular the Gomory-Johnson infinite group problem. By M. Köppe, Y. Zhou, C.Y. Hong, J. Wang with contributions by undergrad programmers

This repository is to solve parallel machine scheduling problems with release constraints

Asymmetric multi-depot vehicle routing problems: valid inequalities and a branch-and-cut algorithm

Implementation of different techniques to solve the Set Covering Problem (SCP).

Control of piecewise affine systems

A Mixed-Integer-Linear-Programming (MILP) problem, formulation, and solution for a power systems generator biding strategy. The objective function is the sum of the unit price of the MW multiplied by the quantity to be accepted added to the other ranges and their respective products plus the no-load cost.

Cython GLPK interface

Approximate Multiparametric Mixed-integer Convex Programming

Nutmeg – a MIP and CP branch-and-check solver

Solve kidney-exchange instances using Python and Gurobi

some helper routines for modelling MIP in cvxpy

An R package for plotting optimization problems/models

Use MIQP to improve the group assignment of college computer science courses