MRLM: A meta-reinforcement learning-based metaheuristic for hybrid flow-shop scheduling problem with learning and forgetting effects.
Zeyu ZhangZhongshi ShaoWeishi ShaoJianrui ChenDechang PiPublished in: Swarm Evol. Comput. (2024)
Keyphrases
- reinforcement learning
- metaheuristic
- learning algorithm
- learning process
- genetic algorithm
- simulated annealing
- optimization problems
- ant colony optimization
- particle swarm optimization
- neural network
- scheduling problem
- dynamic programming
- tabu search
- search space
- solution space
- vehicle routing problem
- function approximation
- scatter search
- guided local search