A computationally efficient approach of tuned mass damper design for a nuclear cabinet based on two-step machine learning and optimization methods.
Chaeyeon GoShinyoung KwagSeunghyun EemJinsung KwakJinho OhPublished in: Adv. Eng. Softw. (2024)
Keyphrases
- optimization methods
- computationally efficient
- machine learning
- optimization approaches
- optimization method
- optimization problems
- simulated annealing
- unconstrained optimization
- design process
- natural language processing
- model selection
- information extraction
- search space
- machine learning algorithms
- feature selection
- learning algorithm
- continuous optimization
- information retrieval
- stochastic methods
- data mining