optimization of dynamic multi-objective non-identical parallel machine scheduling with multi-stage reinforcement learning.
Liangxun GuoZilong ZhuangZizhao HuangWei QinPublished in: CASE (2020)
Keyphrases
- multistage
- multi objective
- optimization algorithm
- reinforcement learning
- stochastic programming
- stochastic optimization
- optimal policy
- multiple objectives
- dynamic programming
- evolutionary optimization
- multiobjective optimization
- multi objective optimization
- convex relaxation
- single stage
- evolutionary algorithm
- production system
- conflicting objectives
- lot sizing
- objective function
- genetic algorithm
- optimization problems
- particle swarm optimization
- multi objective evolutionary algorithms
- neural network
- markov decision processes
- attack detection
- mathematical programming
- optimal control
- optimization method