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31 search results found

Awesome Ml4co ⭐ 1,316

Awesome machine learning for combinatorial optimization papers.

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Adaptive large neighbourhood search (and more!) in Python.

Environments for OR and RL Research

Supplychainpy ⭐ 137

Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.

Open-source, state-of-the-art VRP solver in an easy-to-use Python package.

Feloopy ⭐ 105

FelooPy: An integrated optimization environment for AutoOR in Python

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

Stockpyl ⭐ 65

Python inventory optimization and simulation tools.

Supply Chain Optimization ⭐ 55

Supply Chain Optimization with Python

Python library for working with vehicle routing problem instances.

Pyworkforce ⭐ 44

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

Resources ⭐ 41

A public bookmark bar. Resources for computation, operations research, academia, and more.

Pyhygese ⭐ 37

A Python wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)

Optimization Tutorial ⭐ 34

Simple framework for modeling optimization problems in Python

Historical battle simulation package for Python

Vrptw Column Generation ⭐ 26

A solution to the VRPTW problem using the Column Generation algorithm. Implementation with Python using the Gurobi optimizer (license needed)

Shift_schedule ⭐ 16

Modeling and Solving Employee Shift Scheduling (Including Nurse Rostering) Problems Using Constraint Programming (Combination of Artificial Intelligence and Operations Research) and Software Engineering Technologies 应用约束规划(人工智能和运筹学的结合)及软件工程技术建模和解决员工排班(包括护士排班)调度问题

Shift Scheduling ⭐ 15

Shift Scheduling for workforce

Picking Route ⭐ 13

Improve Warehouse Productivity using Order Batching

Learning_mip ⭐ 13

Your best resource to learn mixed-integer programming to solve practical decision-making problems.

Dorado Scheduling ⭐ 12

Dorado observation planning and scheduling simulations

Factory_planning ⭐ 8

Factory Planning Optimization Project (2015)

Optideploy ⭐ 8

Template for deploying an optimization model accessible via a web service based on FastAPI, mongodb and celery

Binpacking2d ⭐ 7

Exact solutions for two-dimensional bin packing problems by branch-and-cut

Im_project ⭐ 7

Customer service staff scheduling automation achieved through operations research

Amplrestapi ⭐ 6

Asynchorous AMPL REST Interface written in Python 3.6

Framework ⭐ 6

MOEA/D is a general-purpose algorithm framework. It decomposes a multi-objective optimization problem into a number of single-objective optimization sub-problems and then uses a search heuristic to optimize these sub-problems simultaneously and cooperatively.

Why not introducing a little bit of Operations Research in higher secondary schools?

log parser for MIP and LP solvers

Pyjobshop ⭐ 5

Modeling and solving job shop problems in Python.

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