An effective learning procedure for multi-fidelity simulation optimization with ordinal transformation-Reference-Cited by-同舟云学术

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An effective learning procedure for multi-fidelity simulation optimization with ordinal transformation

Published:2015-08 Issue: Volume: Page:
ISSN:
Container-title:2015 IEEE International Conference on Automation Science and Engineering (CASE)
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Author:

Chen Ruidi,Xu Jie,Zhang Si,Chen Chun-Hung,Lee Loo Hay

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7279855/7294025/07294163.pdf?arnumber=7294163

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applying Multi-Fidelity Optimization for Process Parameter Optimization in Polymerization Process of Carbon Fiber Production;2023 IEEE Congress on Evolutionary Computation (CEC);2023-07-01

2. A Study of Congestion-Based Information Guidance Policy for Hierarchical Healthcare Systems;Asia-Pacific Journal of Operational Research;2023-05-27

3. Multi-fidelity simulation optimization for production releasing in re-entrant mixed-flow shops;International Journal of Industrial Engineering Computations;2023

4. An efficient bi-fidelity method for continuous simulation optimization;2022 IEEE 18th International Conference on Automation Science and Engineering (CASE);2022-08-20

5. Efficient Simulation Optimization with Simulation Learning;2021 IEEE 17th International Conference on Automation Science and Engineering (CASE);2021-08-23

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