… problem was solved by NSGA-Ⅱ hybrid simulated annealing algorithm, which improved the
local search … The assembly of a deep groove ball bearing was used to verify the feasibility …

… 进近着陆过程,提出 了插入局部搜索(Insertion and Local Search)算法. 该算法基于混合整数线性
规划(… aircraft sequencing and separation with hierarchical deep reinforcement learning[C]//…

… vehicle routing distance, a multi-agent deep reinforcement … Then, the 2-opt local search
strategy and the sampling search strategy … multi-agent deep reinforcement learning model and its …

… is proposed based on deep reinforcement learning and the iterative … Multiple local search
operators are conducted in a … 针对车辆路径问题(vehicle routing problem, VRP), Nazari等 [24] …

… of new methods using deep reinforcement learning to solve combinatorial optimization problems
have emerged, which … Online vehicle routing with neural combinatorial optimization and …

… A hybrid strategy is also designed, combining manually … learned through deep reinforcement
learning to improve the … and local search methods to solve vehicle routing problems[C]//…

… A hybrid of deep reinforcement learning and local search for the vehicle routing problems[J].IEEE
Transactions on … Deep reinforcement learning for routing a heterogeneous fleet of …

… deep reinforcement learning (DRL) model is used to improve the neighborhood search
algorithm,and a new deep hybrid … to solve the capacitated vehicle routing problem (CVRP). Firstly,…

… methods for solving vehicle routing problem, this review … vehicle routing problem based
on reinforcement learning. … A hybrid of deep reinforcement learning and local search for …

… In recent years,Deep Reinforcement Learning(DRL)has been widely applied in driverless,industrial …
Reinforcement learning for solving the vehicle routing problem∥Proceedings …