Reinforcement learning-guided adaptive large neighborhood search for vehicle routing problem with time windows
Zhaohui Wang, Cui Qiao, Bin Tan, Xiao Yang, Weibang Zhou, Xiangsheng Huang
Topics & Concepts
Reinforcement learningComputer scienceVehicle routing problemMarkov decision processMathematical optimizationOperator (biology)Partially observable Markov decision processHeuristicLocal search (optimization)Sensitivity (control systems)Routing (electronic design automation)Representation (politics)State spaceAdaptation (eye)Theory of computationAnt colonyMarkov chainSearch algorithmBaseline (sea)Matching (statistics)Action selectionConvergence (economics)Ant colony optimization algorithmsOptimization problemArtificial intelligenceQ-learningSelection (genetic algorithm)Space (punctuation)MetaheuristicFace (sociological concept)Markov processHeuristicsLearning automataPerformance improvementBeam searchScheme (mathematics)Hybrid algorithm (constraint satisfaction)Machine learningQuality (philosophy)Variable neighborhood searchVehicle Routing Optimization MethodsRobotic Path Planning AlgorithmsTransportation and Mobility Innovations