Google's Operations Research tools:
#计算机科学#Awesome machine learning for combinatorial optimization papers.
The open source Solver AI for Java and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning prob...
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
The CP-SAT Primer: Using and Understanding Google OR-Tools' CP-SAT Solver
Adaptive large neighbourhood search (and more!) in Python.
#Awesome#A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
Get started with Timefold quickstarts here. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.
Environments for OR and RL Research
NVIDIA cuOpt examples for decision optimization
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.
Operations research tools for Ruby
ORLM: Training Large Language Models for Optimization Modeling
Algorithm for Cutting Stock Problem using Google OR-Tools. Link to the tool:
A library for topological network optimization
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 incl...
Python inventory optimization and simulation tools.