A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection-Reference-Cited by-同舟云学术

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A surrogate-assisted evolutionary algorithm with dual restricted Boltzmann machines and reinforcement learning-based adaptive strategy selection

Published:2024-08 Issue: Volume:89 Page:101629
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Gong Yiyun,Yu Haibo^ORCID,Kang Li,Qiao Gangzhu,Guo Dongpeng,Zeng Jianchao

Publisher

Elsevier BV

Reference52 articles.

1. Evolutionary algorithms and their applications to engineering problems;Slowik;Neural. Comput. Appl.,2020

2. Neural architecture search: a survey;Elsken;J. Mach. Learn. Res.,2019

3. A survey on evolutionary neural architecture search;Liu;IEEE Trans. Neural. Netw. Learn. Syst.,2023

4. Aerodynamic design optimization using sensitivity analysis and computational fluid dynamics;Baysal;AIAA. J.,1992

5. Multi-objective bayesian optimization of chemical reactor design using computational fluid dynamics;Seongeon;Comput. Chem. Eng.,2018

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