Algorithm for Cutting Stock Problem using Google OR-Tools. Link to the tool:
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Updated
Jan 10, 2024 - Python
Algorithm for Cutting Stock Problem using Google OR-Tools. Link to the tool:
The CP-SAT Primer: Using and Understanding Google OR-Tools' CP-SAT Solver
The tensorflow implementation of NIPS2016 paper "LightRNN: Memory and Computation-Efficient Recurrent Neural Networks" (https://arxiv.org/abs/1610.09893)
Track oriented, multi target, multi hypothesis tracker
Unified API for multiple optimizer engines
Standard tools for workforce management, queuing, scheduling, rostering and optimization problems.
Compute an optimized solution to the Vehicle Routing Problem with Time Windows using OR-Tools
A Constraint Programming solver for the Nurse Scheduling Problem, with personal shift preferences.
Source code from AWS Lambda function that solves the Route Optimization problem, using Google Optimization tools
Solving VRP problem using ORTOOLS routing library
Using Google Operation Research Tools (Ortools) to solve complex scheduling problems (General optimization problems).
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.
Simulation results of the paper: https://ieeexplore.ieee.org/document/9476848
Jupyter Notebooks demonstrating Optimization using Python with case studies
Python example programs
Backend for BinRouter CS final year project - team 14
Operations Research in F#
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