Topic: operations-research Goto Github
Some thing interesting about operations-research
Some thing interesting about operations-research
operations-research,A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Organization: ai4co
Home Page: https://rl4.co
operations-research,ALNS header-only library (loosely) based on the original implementation by Stefan Ropke.
User: alberto-santini
operations-research,Solving a TSP with the CPLEX C++ API.
User: alberto-santini
operations-research,Branch-and-price solver for the Feeder Network Design Problem
User: alberto-santini
operations-research,Operations research tools for Ruby
User: ankane
operations-research,OptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.
Organization: apache
Home Page: https://www.optaplanner.org/
operations-research,Constraint programming solver
User: bokner
operations-research,Examples on numerical optimization
User: bruscalia
operations-research,A Python wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)
User: chkwon
operations-research,Instances for the Pickup and Delivery Problem with Time Windows (PDPTW) based on open data
User: cssartori
operations-research,R for Operations Research
User: dirkschumacher
Home Page: https://www.r-orms.org
operations-research,A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
User: ebrahimpichka
operations-research,Simple framework for modeling optimization problems in Python
User: ekhoda
operations-research,A public bookmark bar. Resources for computation, operations research, academia, and more.
User: eltuck
operations-research,Algorithm for Cutting Stock Problem using Google OR-Tools. Link to the tool:
User: emadehsan
Home Page: https://emadehsan.com/csp/
operations-research,Facsimile Simulation Library
Organization: facsimile
Home Page: http://facsim.org/
operations-research,Using Google Operation Research Tools (Ortools) to solve complex scheduling problems (General optimization problems).
User: giangstrider
operations-research,A library for topological network optimization
Organization: google
operations-research,Repository contains implementation of Bender Decomposition for classical facility/warehause location problem using Python and Gurobi solver.
User: grzegorz-siekaniec
operations-research,Repository contains implementation of Branch and Prive for classical General Assignment Problem problem using Python and Gurobi solver.
User: grzegorz-siekaniec
operations-research,Environments for OR and RL Research
User: hubbs5
operations-research,Linear Programming Diet Experiments
User: j2kun
Home Page: https://jeremykun.com/2017/09/24/linear-programming-and-healthy-diets-part-2/
operations-research,Supplychainpy is a Python library for supply chain analysis, modelling and simulation. The library assists a workflow that is reliant on Excel and VBA.
User: kevinfasusi
Home Page: http://www.supplychainpy.org/
operations-research,FelooPy: Efficient & Feature-Rich Integrated Decision Environment
User: ktafakkori
operations-research,Exact solutions for two-dimensional bin packing problems by branch-and-cut
User: ktnr
operations-research,Python inventory optimization and simulation tools.
User: larrysnyder
operations-research,Python Scripts that apply Operations Research (Mixed Integer Programming) to solve Shift Scheduling problems for workforces.
User: lbiedma
operations-research,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 :)
User: lucacappelletti94
operations-research,Asymmetric multi-depot vehicle routing problems: valid inequalities and a branch-and-cut algorithm
User: michieluithetbroek
operations-research,Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
Organization: microsoft
Home Page: https://maro.readthedocs.io/en/latest/
operations-research,An evergrowing, professionally curated list of resources on everything decision-making: videos, tutorials, books, papers, theses, articles, datasets, and open-source libraries.
User: mpalenciaolivar
operations-research,Adaptive large neighbourhood search (and more!) in Python.
User: n-wouda
Home Page: https://alns.readthedocs.io/en/latest/
operations-research,A collection of NVIDIA cuOpt samples and other resources
Organization: nvidia
operations-research,A C++ monorepo for discrete and continuous optimization. Batteries included!
User: petters
operations-research,A coevolutionary-algorithm solver for multi-objective two-echelon Vehicle Routing Problems.
User: phguo
operations-research,Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
Organization: pyvrp
Home Page: https://pyvrp.org/
operations-research,Python package to read and write vehicle routing problem instances.
Organization: pyvrp
Home Page: https://github.com/PyVRP/VRPLIB
operations-research,Optimization and Operations Research With Python
User: radzionc
operations-research,Standard tools for workforce management, queuing, scheduling, rostering and optimization problems.
User: rodrigo-arenas
Home Page: https://pyworkforce.readthedocs.io
operations-research,Improve Warehouse Productivity using Order Batching
User: samirsaci
operations-research,Supply Chain Optimization with Python
User: samirsaci
Home Page: https://towardsdatascience.com/supply-chain-optimization-with-python-23ae9b28fd0b
operations-research,A solution to the VRPTW problem using the Column Generation algorithm. Implementation with Python using the Gurobi optimizer (license needed)
User: simonerichetti
operations-research,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.
User: tanmoyie
Home Page: https://www.youtube.com/playlist?list=PLHyZ7Tamw-fevmrx2V3U13hPDDlUSBbi7
operations-research,Awesome machine learning for combinatorial optimization papers.
Organization: thinklab-sjtu
operations-research,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
Organization: timefoldai
Home Page: https://timefold.ai
operations-research,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
Organization: timefoldai
Home Page: https://timefold.ai
operations-research,A collection of algorithms for the (Resource) Constrained Shortest Path problem in Python / C++ / C#
User: torressa
Home Page: https://torressa.github.io/cspy/
operations-research,Historical battle simulation package for Python
User: umitkaanusta
operations-research,DDO a generic and efficient framework for MDD-based optimization.
User: xgillard
operations-research,An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP problem.
User: yining043
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