Results 1 to 10 of about 22,296,575 (338)
Using machine learning as a surrogate model for agent-based simulations. [PDF]
PLoS One, 2022 In this proof-of-concept work, we evaluate the performance of multiple machine-learning methods as surrogate models for use in the analysis of agent-based models (ABMs).
Angione C, Silverman E, Yaneske E.
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Combined surrogate model for stress prediction of spherical bulkhead with openings
Zhongguo Jianchuan Yanjiu, 2022 ObjectiveA spherical bulkhead with openings has many structural parameters, and it is time-consuming and laborious to directly use the finite element method to carry out parameter research.
Tianyi CHEN +3 more
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Variable surrogate model-based particle swarm optimization for high-dimensional expensive problems
Complex & Intelligent Systems, 2022 Many industrial applications require time-consuming and resource-intensive evaluations of suitable solutions within very limited time frames. Therefore, many surrogate-assisted evaluation algorithms (SAEAs) have been widely used to optimize expensive ...
Jie Tian +3 more
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Training Meta-Surrogate Model for Transferable Adversarial Attack [PDF]
AAAI Conference on Artificial Intelligence, 2021 The problem of adversarial attacks to a black-box model when no queries are allowed has posed a great challenge to the community and has been extensively investigated.
Yunxiao Qin +3 more
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Efficient surrogate modeling methods for large-scale Earth system models based on machine-learning techniques [PDF]
Geoscientific Model Development, 2019 Improving predictive understanding of Earth system variability and change requires data–model integration. Efficient data–model integration for complex models requires surrogate modeling to reduce model evaluation time. However, building a surrogate of a
D. Lu, D. Ricciuto
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Ensemble-Assisted Multi-Objective Optimization Algorithm Combining Feature Perturbation and Allocation Strategy [PDF]
Jisuanji gongcheng, 2022 A surrogate model can use its approximate prediction to replace the real evaluation of an algorithm when applied to the multi-objective optimization problem, which greatly reduces the number of real fitness evaluations required by the multi-objective ...
LIU Ziyi, WANG Yujia, SUN Fulu, JIA Xin, NIE Fangxin
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IEEE transactions on microwave theory and techniques, 2022 Most existing microwave filter yield optimization methods target a small number of sensitive design variables (e.g., around 5). However, for many real-world cases, more than ten sensitive design variables need to be considered.
Zhen Zhang, Bo Liu, Yang Yu, Q. Cheng
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The Creation of Surrogate Models for Fast Estimation of Complex Model Outcomes. [PDF]
PLoS ONE, 2016 A surrogate model is a black box model that reproduces the output of another more complex model at a single time point. This is to be distinguished from the method of surrogate data, used in time series.
W Andrew Pruett, Robert L Hester
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Design and optimization of a bio-inspired hull shape for AUV by surrogate model technology
Engineering Applications of Computational Fluid Mechanics, 2021 This paper proposes a bio-inspired hull shape (BHS) for AUV by studying and modeling the body shape of humpback whales. Among factors affecting hydrodynamic characteristics, this paper considers both the hull drag and displacement volume to optimize the ...
Tongshuai Sun +6 more
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Scientific Reports, 2021 Partial differential equations (PDEs) are ubiquitous in natural science and engineering problems. Traditional discrete methods for solving PDEs are usually time-consuming and labor-intensive due to the need for tedious mesh generation and numerical ...
Xinhai Chen +4 more
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