Geometry and topology optimization of switched reluctance machines: A review
Switched reluctance machines (SRMs) have recently attracted more interest in many
applications due to the volatile prices of rare-earth permanent magnets (PMs) used in …
applications due to the volatile prices of rare-earth permanent magnets (PMs) used in …
[图书][B] Surrogate-model-based design and optimization
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Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research …
Topology optimization for electromagnetics: A survey
The development of technologies for the additive manufacturing, in particular of metallic
materials, is offering the possibility of producing parts with complex geometries. This opens …
materials, is offering the possibility of producing parts with complex geometries. This opens …
Multi-objective topology optimization of rotating machines using deep learning
S Doi, H Sasaki, H Igarashi - IEEE transactions on magnetics, 2019 - ieeexplore.ieee.org
This paper presents the fast topology optimization methods for rotating machines based on
deep learning. The cross-sectional image of electric motors and their performances obtained …
deep learning. The cross-sectional image of electric motors and their performances obtained …
A multi-objective bayesian optimization approach based on variable-fidelity multi-output metamodeling
Practical engineering problems are often involved multiple computationally expensive
objectives. A promising strategy to alleviate the computational cost is the variable-fidelity …
objectives. A promising strategy to alleviate the computational cost is the variable-fidelity …
Kriging assisted surrogate evolutionary computation to solve optimal power flow problems
Z Deng, MD Rotaru, JK Sykulski - IEEE Transactions on power …, 2019 - ieeexplore.ieee.org
This paper proposes a Kriging assisted strategy to expedite evolutionary computation for
solving Optimal Power Flow (OPF) problems. First, two algorithms were developed-a Kriging …
solving Optimal Power Flow (OPF) problems. First, two algorithms were developed-a Kriging …
Sequential exploration-exploitation with dynamic trade-off for efficient reliability analysis of complex engineered systems
A new sequential sampling method, named sequential exploration-exploitation with dynamic
trade-off (SEEDT), is proposed for reliability analysis of complex engineered systems …
trade-off (SEEDT), is proposed for reliability analysis of complex engineered systems …
A high-dimensional optimization method combining projection correlation-based Kriging and multimodal parallel computing
P Hao, H Liu, S Feng, G Wang, R Zhang… - Structural and …, 2023 - Springer
In surrogate-based optimization (SBO), the recognized issues associated with the high-
dimensional surrogate models focus on the prohibitive computational costs and the low …
dimensional surrogate models focus on the prohibitive computational costs and the low …
Multi-objective Pareto optimization of electromagnetic devices exploiting kriging with Lipschitzian optimized expected improvement
S Xiao, GQ Liu, KL Zhang, YZ Jing… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
This paper focuses on resolving the storage issue of correlation matrices generated by
kriging surrogate models in the context of electromagnetic optimization problems with many …
kriging surrogate models in the context of electromagnetic optimization problems with many …
A multi-fidelity Bayesian optimization approach for constrained multi-objective optimization problems
In this paper, a multi-fidelity Bayesian optimization approach is presented to tackle
computationally expensive constrained multiobjective optimization problems (MOPs). The …
computationally expensive constrained multiobjective optimization problems (MOPs). The …