ortools

The CP-SAT Primer: Using and Understanding Google OR-Tools' CP-SAT Solver

Pyomo respository provides a comprehensive library of solved models in Supply chain management

Algorithm for Cutting Stock Problem using Google OR-Tools. Link to the tool:

Track oriented, multi target, multi hypothesis tracker

Standard tools for workforce management, queuing, scheduling, rostering and optimization problems.

A webapp that visualizes and annotates your ortools' CP-SAT logs. Partially inspired by gurobi-logtools.

An automatic rostering system that can handle skill mix requirements, staff requests and shift sequence rules

The tensorflow implementation of NIPS2016 paper "LightRNN: Memory and Computation-Efficient Recurrent Neural Networks" (https://arxiv.org/abs/1610.09893)

Using Google Operation Research Tools (Ortools) to solve complex scheduling problems (General optimization problems).

100+ solvers for logic puzzles with ortools, 41k+ datasets for 130+ puzzles, e.g. Nonogram, Slitherlink, Fillomino, Creek, Akari, Yajilin and Sudoku-variants.

南邮大创项目，旨在用超启发式算法解决CVRP问题

Unified API for multiple optimizer engines

WIP: Tune the hyperparameters of Google's OR-Tools' CP-SAT solver for specific models

Source code from AWS Lambda function that solves the Route Optimization problem, using Google Optimization tools

Simulation results of the paper: https://ieeexplore.ieee.org/document/9476848

This repository demonstrates how to solve the Vehicle Routing Problem (VRP) using OpenStreetMap data and OR-Tools library. The VRP is a classic optimization problem where a set of vehicles is tasked with visiting a set of locations while minimizing the total distance traveled.

A Constraint Programming solver for the Nurse Scheduling Problem, with personal shift preferences.

Operations Research in F#

Compute an optimized solution to the Vehicle Routing Problem with Time Windows using OR-Tools

This repository provides an Human-Machine Interface (HMI) to solve the Vehicle Routing Problem (VRP) for a heterogeneous swarm of Unmanned Aerial Vehicles (UAVs).