Multi-policy deep reinforcement learning for multi-objective multiplicity flexible job shop scheduling.
Linshan DingZailin GuanMudassar RaufLei YuePublished in: Swarm Evol. Comput. (2024)
Keyphrases
- job shop scheduling
- multi objective
- reinforcement learning
- optimal policy
- job shop scheduling problem
- policy search
- scheduling problem
- multi objective optimization
- markov decision process
- action selection
- optimization algorithm
- evolutionary algorithm
- combinatorial optimization problems
- genetic algorithm
- particle swarm optimization
- markov decision processes
- reinforcement learning algorithms
- reward function
- control policy
- resource constraints
- agent learns
- action space
- model free
- nsga ii
- function approximation
- partially observable markov decision processes
- computational intelligence
- machine learning
- memetic algorithm
- knapsack problem
- evolutionary computation
- dynamic programming
- learning algorithm
- neural network