A reinforcement learning-driven adaptive decomposition algorithm for multi-objective hybrid seru system scheduling considering worker transfer.
Yuting WuLing WangRui LiJing-fang ChenPublished in: Swarm Evol. Comput. (2024)
Keyphrases
- decomposition algorithm
- multi objective
- reinforcement learning
- multiple objectives
- working set
- transfer learning
- decomposition method
- optimization algorithm
- multi objective optimization
- evolutionary algorithm
- scheduling problem
- function approximation
- working set selection
- equality constraints
- scheduling algorithm
- simulated annealing and tabu search
- conflicting objectives
- multi objective optimization problems
- buffer allocation
- genetic algorithm
- nsga ii
- markov decision processes
- particle swarm optimization
- real time database systems
- dynamic programming
- objective function
- training data