Results 11 to 20 of about 24,751,639 (251)

Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization

, 2021
This article investigates deep neural networks (DNNs)-based lung nodule classification with hyperparameter optimization. Hyperparameter optimization in DNNs is a computationally expensive problem, and a surrogate-Assisted evolutionary algorithm has been ...
Lyu, J, Zhang, M, Li, H, Su, S, Ling, S, Pan, S, Zhang, Miao, Ling, Steve, Li, Huiqi, Lyu, Juan, Su, Steven, Pan, Shirui   +11 more
core   +2 more sources

Multi-objective design optimization for high-lift aircraft configurations supported by surrogate modeling [PDF]

, 2013
Nowadays, the competition among airlines seriously depend upon the saving operating costs, with the premise that not to degrade its services quality.
Li, Daxin
core   +4 more sources

Recent advances in surrogate-based optimization [PDF]

, 2009
The evaluation of aerospace designs is synonymous with the use of long running computationally intensive simulations. This fuels the desire to harness the efficiency of surrogate-based methods in aerospace design optimization.
Alexander I.J. Forrester, Andy J. Keane, Keane, Andy J., Forrester, Alexander I.J.   +3 more
core   +1 more source

Multidisciplinary design for structural integrity using a collaborative optimization method based on adaptive surrogate modelling

Materials & Design, 2021
As one of the multidisciplinary design optimization methods, the collaborative optimization (CO) can enjoy a high degree of discipline autonomy. It has received extensive attention and been used in the modern engineering design process.
Debiao Meng, Yan Li, Chao He, Jinbao Guo, Zhiyuan Lv, Peng Wu   +5 more
doaj   +1 more source

Reliability-based optimization of ship structure based on interest subdomain dynamic surrogate model

Zhongguo Jianchuan Yanjiu, 2021
ObjectivesAiming at the difficulty of ensuring the fitting accuracy and optimization efficiency of surrogate models due to the high nonlinearity in ship structure reliability-based optimization design, a reliability-based ship structure optimization ...
Wenjun LUO, Deyu WANG
doaj   +1 more source

Building energy optimization using surrogate model and active sampling [PDF]

, 2020
In order to improve the performance of a surrogate model-based optimization method for building optimization problems, a new active sampling strategy employing a committee of surrogate models is developed.
Cholette, Michael E, Bamdad, Keivan, Bell, John, Cholette, Michael E., Bamdad, Keivan (R20488)   +4 more
core   +1 more source

Optimization using surrogate models and partially converged computational fluid dynamics simulations [PDF]

, 2006
Efficient methods for global aerodynamic optimization using computational fluid dynamics simulations should aim to reduce both the time taken to evaluate design concepts and the number of evaluations needed for optimization.
Alexander I.J. Forrester, Andy J. Keane, Keane, A.J., Forrester, A.I.J., Bressloff, N.W., Neil W. Bressloff   +5 more
core   +1 more source

Reliability-based design optimization of ship structure using SMOTE algorithm and dynamic surrogate model

Zhongguo Jianchuan Yanjiu, 2020
Objectives Aiming at the problem that it is difficult to ensure global approximation accuracy and computational efficiency in the traditional reliability-based design optimization of ship structures, a reliability optimization strategy based on a dynamic
LIU Jing, WANG Deyu
doaj   +1 more source

Deep Neural Network-Based Surrogate Model for Optimal Component Sizing of Power Converters Using Deep Reinforcement Learning

IEEE Access, 2022
The optimal design of power converters often requires a huge number of simulations and numeric analyses to determine the optimal parameters. This process is time-consuming and results in a high computational cost.
Van-Hai Bui, Fangyuan Chang, Wencong Su, Mengqi Wang, Yi Lu Murphey, Felipe Leno Da Silva, Can Huang, Lingxiao Xue, Ruben Glatt   +8 more
doaj   +1 more source

Using a Tolerance-based Surrogate Method for Computer Resources Saving in Optimization [PDF]

Radioengineering, 2019
This paper presents a very simple surrogate optimization method - a Tolerance-based Surrogate Method. A surrogate optimization in general is essential to more and more frequently used optimization in the development process of new technologies.
M. Marek, P. Kadlec
doaj