Using and Understanding OR-Tools' CP-SAT: A Primer and Cheat Sheet
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Updated
May 10, 2024 - Jupyter Notebook
Using and Understanding OR-Tools' CP-SAT: A Primer and Cheat Sheet
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.
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).
Unified API for multiple optimizer engines
Source code from AWS Lambda function that solves the Route Optimization problem, using Google Optimization tools
A webapp that visualizes and annotates your ortools' CP-SAT logs. Partially inspired by gurobi-logtools.
Simulation results of the paper: https://ieeexplore.ieee.org/document/9476848
Operations Research in F#
Compute an optimized solution to the Vehicle Routing Problem with Time Windows using OR-Tools
Nomad Cyclist Problem - A variation of Traveling Salesman Problem (with open tour) adjusted for elevation and factors
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.
travelling salesman problem using ortools
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