Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems.
Hui YuKai-Zhou GaoZhen-Fang MaYuxia PanPublished in: Swarm Evol. Comput. (2023)
Keyphrases
- metaheuristic
- flowshop scheduling problems
- combinatorial optimization
- multi agent
- cooperative
- flowshop scheduling
- optimization problems
- tabu search
- simulated annealing
- ant colony optimization
- combinatorial optimization problems
- hybrid algorithms
- optimal solution
- search space
- genetic algorithm
- combinatorial problems
- reinforcement learning
- search methods
- mip solver
- flowshop
- function approximation
- particle swarm optimization
- scheduling problem
- nature inspired
- state space
- vehicle routing problem
- model free
- objective function
- optimal policy
- job shop scheduling problem
- benchmark instances
- dynamic programming
- cost function
- set of benchmark instances