Results 1 to 10 of about 133,335 (273)

Higher-order factorization machine for accurate surrogate modeling in material design [PDF]

Scientific Reports
Efficient and robust optimization is important in material science for identifying optimal structural parameters and enhancing material performance. Surrogate-based active learning algorithms have recently gained great attention for their ability to ...
Sanghyo Hwang, Seongmin Kim, Zhihao Xu, Tengfei Luo, Eungkyu Lee   +4 more
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High-Fidelity Surrogate Based Multi-Objective Optimization Algorithm

Algorithms, 2022
The employment of conventional optimization procedures that must be repeatedly invoked during the optimization process in real-world engineering applications is hindered despite significant gains in computing power by computationally expensive models. As
Adel Younis, Zuomin Dong
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Aerodynamic Data-Driven Surrogate-Assisted Teaching-Learning-Based Optimization (TLBO) Framework for Constrained Transonic Airfoil and Wing Shape Designs

Aerospace, 2022
The surrogate-assisted optimization (SAO) process can utilize the knowledge contained in the surrogate model to accelerate the aerodynamic optimization process.
Xiaojing Wu, Zijun Zuo, Long Ma
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Application of Surrogate Optimization Routine with Clustering Technique for Optimal Design of an Induction Motor

Energies, 2021
This paper proposes a new surrogate optimization routine for optimal design of a direct on line (DOL) squirrel cage induction motor. The geometry of the motor is optimized to maximize its electromagnetic efficiency while respecting the constraints, such ...
Aswin Balasubramanian, Floran Martin, Md Masum Billah, Osaruyi Osemwinyen, Anouar Belahcen   +4 more
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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
doaj   +1 more source

CT reconstruction based on separable surrogate optimization

Shenzhen Daxue xuebao. Ligong ban, 2023
In response to the time-consuming problem of optimizing the objective function in computed tomography (CT) using the iterative coordinate descent algorithm and the regularization model of q-generalized Gaussian Markov random field, an optimization method
HOU Xiaowen, GUO Jinchuan, CHEN Wei, JIANG Haochuan   +3 more
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Multi-Objective Optimization of the Robustness of Complex Networks Based on the Mixture of Weighted Surrogates

Axioms, 2023
Network robustness is of paramount importance. Although great progress has been achieved in robustness optimization using single measures, such networks may still be vulnerable to many attack scenarios.
Junfeng Nie, Zhuoran Yu, Junli Li
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A Joint Optimization Algorithm Based on the Optimal Shape Parameter–Gaussian Radial Basis Function Surrogate Model and Its Application

Mathematics, 2023
We propose a joint optimization algorithm that combines the optimal shape parameter–Gaussian radial basis function (G-RBF) surrogate model with global and local optimization techniques to improve accuracy and reduce costs.
Jian Sun, Ling Wang, Dianxuan Gong
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Aerodynamic Optimization of Transonic Rotor Using Radial Basis Function Based Deformation and Data-Driven Differential Evolution Optimizer

Aerospace, 2022
The complicated flow conditions and massive design parameters bring two main difficulties to the aerodynamic optimization of axial compressors: expensive evaluations and numerous optimization variables. To address these challenges, this paper establishes
Yi Liu, Jiang Chen, Jinxin Cheng, Hang Xiang   +3 more
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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