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.
Using Google Operation Research Tools (Ortools) to solve complex scheduling problems (General optimization problems).
90+ solvers for logic puzzles with ortools, 38k+ datasets for 120+ puzzles, e.g. Nonogram, Slitherlink, Fillomino, Creek, Akari, Yajilin and Sudoku-variants.
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
A Constraint Programming solver for the Nurse Scheduling Problem, with personal shift preferences.
Solves the Vehicle Routing Problem (VRP) using Column Generation (CG). It is made as an inspiration to use CG in more projects, since it can be quite effective in the right situations.
Nomad Cyclist Problem - A variation of Traveling Salesman Problem (with open tour) adjusted for elevation and factors
Models the discrete, single-machine, multi-item, single-level lot sizing problem via mixed integer programming
🚚 An intelligent dispatching and route optimization system using Flutter, Firebase, and Google's OR-Tools on Cloud Run for efficient delivery management.
Intelligent, open-source automatic schedule generator. Personal weekly planner and shift scheduler – generates full timetables and work rotas from user availability, constraints and preferences. Python + Google OR-Tools.
Objective performance analysis for OR solvers: comparing Pyomo, solvOR, OR-Tools, and more across standardized problem sets to find the best tool for the job.
Solving Sudoku using Constraint Programming
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