huixinxin's starred repositories
vrptw-implementation
Implementation of a local search algorithm solving the VRPTW for a heterogenous fleet of vehicles
Pareto-local-search
Currently a prototype implementation of Pareto local search algorithm in preparation for an upcoming project
pyCombinatorial
A library to solve the TSP (Travelling Salesman Problem) using Exact Algorithms, Heuristics and Metaheuristics : 2-opt; 2.5-opt; 3-opt; 4-opt; 5-opt; 2-opt Stochastic; 2.5-opt Stochastic; 3-opt Stochastic; 4-opt Stochastic; 5-opt Stochastic; Ant Colony Optimization; Bellman-Held-Karp Exact Algorithm; Branch & Bound; BRKGA (Biased Random Key Genetic Algorithm); Brute Force; Cheapest Insertion; Christofides Algorithm; Clarke & Wright (Savings Heuristic); Concave Hull Algorithm; Convex Hull Algorithm; Elastic Net; Extremal Optimization; Farthest Insertion; Genetic Algorithm; GRASP (Greedy Randomized Adaptive Search Procedure); Greedy Karp-Steele Patching; Guided Search; Hopfield Network; Iterated Search; Karp-Steele Patching; Multifragment Heuristic; Nearest Insertion; Nearest Neighbour; Random Insertion; Random Tour; Scatter Search; Simulated Annealing; SOM (Self Organizing Maps); Space Filling Curve (Hilbert); Space Filling Curve (Morton); Space Filling Curve (Sierpinski); Stochastic Hill Climbing; Sweep; Tabu Search; Truncated Branch & Bound; Twice-Around the Tree Algorithm (Double Tree Algorithm); Variable Neighborhood Search.
VARIABLE-NEIGHBORHOOD-SEARCH
VNS-SOLVER : implementation of the VNS meta-heuristic using the C programming language
pytorch-drl4vrp
Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).
VRP_DRL_MHA
"Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver
VehicleRoutingProblem
Vehicle Routing Problem solved using Ant Colony System, Greedy and Tabu Search algorithms
tsp_solver
Solving tsp (travel sales problem) using ruin & recreate method.
Path-Planning-with-Object-Classification
Path-Planning-with-Object-Classification using Neural networks and deep learning AI
PathLossWithDeepLearning
I am trying to use Deep Learning to solve the Path Loss Model problem
ASVs_Deep_Reinforcement_Learning_with_CNNs
Deep Reinforcement Learning application for path planning in ASVs
PathFinding-Agent-with-Deep-Reinforcement-Learning
A Simple Path-Finding Agent, based on DQN Algorithm (My B.Sc. Thesis, Phase 1/3)
DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Optimal-Path-Planning-Deep-Reinforcement-Learning
Optimal Path Planning with Deep Reinforcement Learning
GalaxyLearning
Galaxy learning framework
Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！