A constrained multi-objective deep reinforcement learning approach for temperature field optimization of zinc oxide rotary volatile kiln.
Fengrun TangZhenxiang FengYonggang LiChunhua YangBei SunPublished in: Adv. Eng. Informatics (2023)
Keyphrases
- temperature field
- multi objective
- ceramic roller kiln
- optimization algorithm
- numerical simulations
- reinforcement learning
- multiple objectives
- computational fluid dynamics
- finite element analysis
- multi objective optimization
- finite element method
- evolutionary algorithm
- heat transfer
- objective function
- particle swarm
- optimization method
- optimization problems
- particle swarm optimization
- multi objective evolutionary algorithms
- control method
- computer vision
- genetic algorithm
- patient specific
- computer aided design
- optimization methods
- dynamic model
- simulation model
- differential evolution
- moving objects
- image processing