A Fast Optimization Algorithm Based on Multi-RBF For High-Dimensional and Computationally Expensive Problems-Reference-Cited by-同舟云学术

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A Fast Optimization Algorithm Based on Multi-RBF For High-Dimensional and Computationally Expensive Problems

Published:2021-12-22 Issue: Volume: Page:
ISSN:
Container-title:2021 4th International Conference on Algorithms, Computing and Artificial Intelligence
language:
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Author:

Wu Mengtian¹,Wang Lingling¹,Lu Qianyi¹,Hu Pengjie¹,Xu Jin¹

Affiliation:

1. College of Water Conservancy and Hydropower Engineering, Hohai University, China

Funder

National Key R&D Program of China

the National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3508546.3508551

Reference19 articles.

1. Surrogate-assisted evolutionary computation: Recent advances and future challenges

2. Review of surrogate modeling in water resources

3. A review of surrogate models and their application to groundwater modeling

4. Generalizing Surrogate-Assisted Evolutionary Computation

5. A hybrid meta-model based global optimization method for expensive problems

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