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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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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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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 +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
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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 +3 more
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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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Optimization of water exchange based on RBF surrogate model and particle swarm optimization
Shuili Shuiyun Gongcheng Xuebao, 2020 Good water exchange is very essential, not only for improving the water environment, but also for enhancing the landscape effect around the water. The diversion replacement method is significant for promoting water exchange.
QI Lan, ZHENG Shihao, ZHANG Conglin
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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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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 +3 more
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Complex & Intelligent Systems, 2021 When solving expensive multi-objective optimization problems, surrogate models are often used to reduce the number of true evaluations. Based on predictions from the surrogate models, promising candidate solutions, also referred to as infill solutions ...
Bing Wang +2 more
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