Alternatives and similar repositories for GPU-Parallel-Genetic-Algorithm-using-CUDA-with-Python-Numba:

Users that are interested in GPU-Parallel-Genetic-Algorithm-using-CUDA-with-Python-Numba are comparing it to the libraries listed below

• Lei-Kun / DRL-and-graph-neural-network-for-routing-problems
  This is the official code for the published paper 'Solve routing problems with a residual edge-graph attention neural network'
  ☆228Updated last year
• sx1616039 / HFSP
  The implimentation of DRL method for hybrid flow-shop Scheduling problems
  ☆16Updated last year
• jingwenli0312 / HCVRP_DRL
  This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"
  ☆143Updated 2 years ago
• ajayn1997 / RL-VRP-PtrNtwrk
  Reinforcement Learning for Solving the Vehicle Routing Problem
  ☆69Updated 3 years ago
• alexeypustynnikov / AM-VRP
  TF2 implementation of "Attention, Learn to Solve Routing Problems!" (arXiv:1803.08475) article.
  ☆38Updated 4 years ago
• d-eremeev / ADM-VRP
  Dynamic Attention Model for Vehicle Routing Problem (arXiv:2002.03282)
  ☆122Updated last year
• Valdecy / pyMultiobjective
  A python library for the following Multiobjective Optimization Algorithms or Many Objectives Optimization Algorithms: C-NSGA II; CTAEA; …
  ☆184Updated 3 months ago
• yining043 / TSP-improve
  An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…
  ☆92Updated 2 years ago
• ptal / kobe-scheduling
  Data sets for the resource-constrained project scheduling problem (RCPSP)
  ☆11Updated 2 months ago
• sahutkarsh / NSGA-II
  Implementation of Non-dominated Sorting Genetic Algorithm (NSGA-II), a Multi-Objective Optimization Algorithm in Python
  ☆47Updated 6 years ago
• ahottung / NLNS
  Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
  ☆90Updated 4 years ago
• Valdecy / pyVRP
  The pyVRP is python library that solves (using Genetic Algorithms): Capacitated VRP, Multiple Depot VRP, VRP with Time Windows, VRP with …
  ☆34Updated 2 years ago
• colinlee0924 / DRL-SimPy-JobShop
  An integration of deep reinforcement learning and discrete-event simulation for job shop scheduling problem.
  ☆25Updated last year
• qcappart / hybrid-cp-rl-solver
  Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
  ☆190Updated 4 years ago
• kevin031060 / RL_TSP_4static
  Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper
  ☆156Updated 4 years ago
• Valdecy / pyCombinatorial
  This library provides a comprehensive suite of algorithms to solve the Travelling Salesman Problem (TSP), ranging from Exact Algorithms, …
  ☆120Updated last month
• zcaicaros / manager-worker-mtsptwr
  Official implementation of paper "Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning"
  ☆43Updated 2 years ago
• pengguo318 / RoutingProblemGANN
  ☆47Updated 2 years ago
• lehduong / Job-Scheduling-with-Reinforcement-Learning
  Learning in Noisy MDP (which is governed by stochastic, exogenous input processes) with input-dependent baseline
  ☆11Updated 4 years ago
• zcaicaros / DRL-MTSP
  Reinplemtation of paper "A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs"
  ☆60Updated 3 years ago
• kshitija2 / Interactive-Multi-objective-Reinforcement-Learning
  Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …
  ☆21Updated 6 years ago
• Rintarooo / VRP_DRL_MHA
  "Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver
  ☆187Updated 4 years ago
• sudhan-bhattarai / CVRPTW_MILP
  Solving a Capacitated Vehicle Routing Problem with time windows constraints (CVRPTW) with Mixed Integer Linear Programming (MILP) in pyt…
  ☆83Updated 3 years ago
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆51Updated 4 years ago
• machine-reasoning-ufrgs / TSP-GNN
  Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G wi…
  ☆116Updated 5 years ago
• jokofa / NeuroLS
  Code repository for the corresponding paper "Learning to Control Local Search for Combinatorial Optimization"
  ☆16Updated 7 months ago
• zll-hust / HA_FJSP
  An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem
  ☆34Updated 4 years ago
• Bill-CJB / EMNH
  ☆18Updated last year
• yhnju / tspFormer
  This is the implementation of my paper "Memory-Efficient Transformer-based Network Model for Traveling Salesman Problem"
  ☆25Updated 2 years ago
• zhangzizhen / ML-DAM
  ☆24Updated 3 years ago