Solving job shop scheduling problems with constraint programming in Python.

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

Applications of Metaheuristic Optimization in Python

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

Container-based Action Routing Tool (CART)

Comparing and solving transportation cost optimization problems using linear programming

An operations research project focused on network problems, with a particular emphasis on the max-flow problem. (Bosnian)

An overview of the cutting plane method for integer programming, emphasizing Gomory's cut. (Bosnian)

Gym environments for logistics tasks that can be described as "Move something from A to B"

Python inventory optimization and simulation tools.

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

FelooPy: Efficient & Feature-Rich Integrated Decision Environment

Dorado observation planning and scheduling simulations

Forecasting costs of new SSD memory drives based on historical quotes from design manufacturers

The Python SDK for Nextmv

Python Scripts that apply Operations Research (Mixed Integer Programming) to solve Shift Scheduling problems for workforces.

Instances and solver implementation for the Berth Allocation Problem.

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

An ASP encoding for scheduling running relays

This research proposes a novel order batching approach for warehouses to minimize total tardiness, considering category, weight, and fragility constraints. A Set-based Mayfly Algorithm (SBMA) is developed, adapting the Mayfly Algorithm to the discrete problem and leveraging swarming/mating behaviors to avoid local optima.