Alternatives and similar repositories for QAP-Genetic-Algorithm

Users that are interested in QAP-Genetic-Algorithm are comparing it to the libraries listed below

• iankurgarg / Reinforcement-Learning-Feature-Selection
  Feature selection for maximizing expected cumulative reward
  ☆30Updated 8 years ago
• JaiPizGon / NeuralSens
  ☆16Updated this week
• kishorkukreja / SupplyChainv0_gym
  Reinforcement Learning for Optimal inventory policy
  ☆34Updated 4 years ago
• unit8co / medium-tsp
  Appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"
  ☆58Updated 5 years ago
• nikhilsoni1 / Discrete-Event-Simulation
  Discrete event simulation and computational models for engine block manufacturing at a marine propulsion company
  ☆10Updated 7 years ago
• LarrySnyder / RLforInventory
  Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…
  ☆18Updated last year
• venktesh22 / ExpressLanes_Deep-RL
  ☆26Updated 5 years ago
• caseypen / parallel_machine_scheduling
  This repository is to solve parallel machine scheduling problems with release constraints
  ☆39Updated last year
• tsyet12 / EvoOpt
  Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.
  ☆12Updated 3 years ago
• mangushev / inventory_management
  Supply chain management
  ☆20Updated 4 years ago
• anshul-musing / single-echelon-inventory-assessment
  inventory simulation modules for single-echelon supply chain
  ☆13Updated 7 years ago
• jokofa / NeuroLS
  Code repository for the corresponding paper "Learning to Control Local Search for Combinatorial Optimization"
  ☆16Updated last year
• paulhendricks / gym-inventory
  An OpenAI Gym environment for Inventory Control problems
  ☆57Updated 5 years ago
• Proyag / FlowShopProject
  Optimization of permutation flow shop scheduling on the basis of makespan computation using natural algorithms. Done as a master's degree…
  ☆13Updated 6 years ago
• timbrgr / complex-scheduling-optimization-case-studies
  Optimization Case Studies: Generic Time Scheduling Problem (GTSP), Resource-Constrained Project Scheduling Problem (RCPSP) with Pulse Var…
  ☆11Updated 7 years ago
• Hvass-Labs / MetaOps
  Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
  ☆56Updated 7 years ago
• marco-cheung / airport-gate-assignment-problem
  Mixed Integer Linear Programming (MILP) Model for solving airport gate assignment problem.
  ☆13Updated 3 years ago
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆18Updated 7 years ago
• DerwenAI / rllib_tutorials
  RLlib tutorials
  ☆66Updated 4 years ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆31Updated 7 years ago
• RamiKrispin / covid19sf
  R package for tracking Covid19 cases in San Francisco
  ☆12Updated 2 years ago
• orrivlin / MinimumVertexCover_DRL
  Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL
  ☆78Updated 6 years ago
• PacktPublishing / Hands-on-Reinforcement-Learning-with-PyTorch
  Hands-on Reinforcement Learning with PyTorch, published by [Packt]
  ☆57Updated 5 years ago
• bramdemoor-BE / Reward-shaping-to-improve-the-performance-of-DRL-in-inventory-management
  Link to paper: https://www.ssrn.com/abstract=3804655
  ☆13Updated 4 years ago
• FastGA / fast-genetic-algorithms
  ☆21Updated 8 years ago
• bruscalia / tsp-app
  An optimization app for the Traveling Salesman Problem
  ☆31Updated 2 years ago
• ALFA-group / bayesopt-nash-eq
  ☆14Updated 7 years ago
• mollenhauerm / keras-temporal-autoencoder
  Keras framework for autocovariance-based dimensionality reduction of time series data with deep neural networks.
  ☆32Updated 8 years ago
• SimonOuellette35 / BayesianRL
  Some example code for the "Introduction to Bayesian Reinforcement Learning" presentations
  ☆29Updated 6 years ago
• heechulbae / simulation
  Discrete Event Simulation using Simpy to run model based and model free deep reinforcement learning dispatch policies in a stochastic que…
  ☆21Updated 7 years ago