There are 41 repositories under operations-research topic.
Awesome machine learning for combinatorial optimization papers.
The open source AI solver. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems
OptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.
Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
An evergrowing, professionally curated list of resources on everything decision-making
Operations research tools for Ruby
Get started with Timefold quickstarts here. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems
A library for topological network optimization
FelooPy: Efficient & Feature-Rich Integrated Decision Environment
A collection of NVIDIA cuOpt samples and other resources
Some lecture notes of Operations Research (usually taught in Junior year of BS) can be found in this repository along with some Python programming codes to solve numerous problems of Optimization including Travelling Salesman, Minimum Spanning Tree and so on.
Python inventory optimization and simulation tools.
A solution to the VRPTW problem using the Column Generation algorithm. Implementation with Python using the Gurobi optimizer (license needed)
An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP problem.
Improve Warehouse Productivity using Order Batching
Standard tools for workforce management, queuing, scheduling, rostering and optimization problems.
Supply Chain Optimization with Python
My latex notes on whatever I'm studying. All are available to the public, but please take them with a grain of salt and notify me in case of errors :)
Python Scripts that apply Operations Research (Mixed Integer Programming) to solve Shift Scheduling problems for workforces.
ALNS header-only library (loosely) based on the original implementation by Stefan Ropke.
Simple framework for modeling optimization problems in Python
Examples on numerical optimization
Exact solutions for two-dimensional bin packing problems by branch-and-cut