Multiobjective Optimization of a Dual Stator Brushless Hybrid Excitation Motor Based on Response Surface Model and NSGA 2
Summary
Multiobjective Optimization of a Dual Stator Brushless Hybrid Excitation Motor Based on Response Surface Model and NSGA 2 is a scholarly article[1].
Key Facts
Multiobjective Optimization of a Dual Stator Brushless Hybrid Excitation Motor Based on Response Surface Model and NSGA 2's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Multiobjective Optimization of a Dual Stator Brushless Hybrid Excitation Motor Based on Response Surface Model and NSGA 2. Retrieved May 24, 2026, from https://4ort.xyz/entity/multiobjective-optimization-of-a-dual-stator-brushless-hybrid-excitation-motor-based-on-response-surface-model-and-nsga-
MLA“Multiobjective Optimization of a Dual Stator Brushless Hybrid Excitation Motor Based on Response Surface Model and NSGA 2.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multiobjective-optimization-of-a-dual-stator-brushless-hybrid-excitation-motor-based-on-response-surface-model-and-nsga-.
BibTeX@misc{4ortxyz_multiobjective-optimization-of-a-dual-stator-brushless-hybrid-excitation-motor-based-on-response-surface-model-and-nsga-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multiobjective Optimization of a Dual Stator Brushless Hybrid Excitation Motor Based on Response Surface Model and NSGA 2}}, year = {2026}, url = {https://4ort.xyz/entity/multiobjective-optimization-of-a-dual-stator-brushless-hybrid-excitation-motor-based-on-response-surface-model-and-nsga-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multiobjective Optimization of a Dual Stator Brushless Hybrid Excitation Motor Based on Response Surface Model and NSGA 2 — https://4ort.xyz/entity/multiobjective-optimization-of-a-dual-stator-brushless-hybrid-excitation-motor-based-on-response-surface-model-and-nsga- (retrieved 2026-05-24)