Constraint programming solver

A collection of algorithms for the (Resource) Constrained Shortest Path problem in Python / C++ / C#

Une liste de ressources sur tout ce qui touche à la prise de décision : vidéos, tutoriels, livres, documents, thèses, articles, datasets et libs open source.

Produire, prédire et décider grâce aux solveurs Python et Excel, aux lois de probabilité mathématiques et au Machine Learning (Recherche opérationnelle)

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

Modelling 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+运筹学)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

invo.py es el repositorio de código de la materia Investigación Operativa, curso I4051 de Ingeniería Industrial de la Universidad Tecnológica Nacional, Buenos Aires.

This code is the implementation of the research paper: New insights on integer programming models for the kidney exchange problem. Miguel Constantino, Xenia Klimentova, Ana Viana, and Abdur Rais (Constantino et al). European Journal of Operational Research, 231(1):57–68, 2013. Integer programs in the paper are solved using glpk solver in python.

Python inventory optimization and simulation tools.

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

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

Pre-built decision models serving as the base for Marketplace subscription apps.

Dorado observation planning and scheduling simulations

FelooPy: Efficient & Feature-Rich Integrated Decision Environment

Solving job shop scheduling problems with constraint programming in Python.

Applications of Metaheuristic Optimization in Python

A capacitated static lot-sizing problem incorporating individual chance constraints for service levels has been addressed. The demand is uncertain and follows a uniform distribution.

We provide an open source ecosystem centered around optimization and operations research.

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

Data release of "Relief and Stimulus in A Cross-sector Multi-product Scarce Resource Supply Chain Network".