A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems.
Yaxian RenKaizhou GaoYaping FuHongyan SangDachao LiZile LuoPublished in: Swarm Evol. Comput. (2023)
Keyphrases
- search algorithm for solving
- scheduling problem
- search algorithm
- lower bound
- tabu search
- reinforcement learning
- cooperative
- mathematical programming
- function approximation
- multi agent
- state space
- np hard
- line segments
- stochastic approximation
- job shop scheduling
- parallel machines
- learning rate
- model free
- setup times
- flowshop
- learning algorithm
- reverse engineering
- single machine
- job shop
- line drawings
- genetic algorithm
- precedence constraints
- third party
- metaheuristic
- temporal difference learning
- evolutionary algorithm
- potential field
- multi agent reinforcement learning