Design Optimization of Large-Capacity High-speed Permanent-Magnet Generator Based on Surrogate-Assisted Non-dominated Sorting Genetic Algorithm

IF 5.4 2区工程技术 Q2 ENERGY & FUELS

IEEE Transactions on Energy Conversion Pub Date : 2025-10-09 DOI:10.1109/tec.2025.3619516

Bitian Ye, Ying Xie, William Cai, Yutian Sun, Jing Bai

引用次数: 0

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基于代理辅助非支配排序遗传算法的大容量高速永磁发电机设计优化

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Energy Conversion 工程技术-工程：电子与电气

CiteScore

11.10

自引率

10.20%

发文量

230

审稿时长

4.2 months

期刊介绍： The IEEE Transactions on Energy Conversion includes in its venue the research, development, design, application, construction, installation, operation, analysis and control of electric power generating and energy storage equipment (along with conventional, cogeneration, nuclear, distributed or renewable sources, central station and grid connection). The scope also includes electromechanical energy conversion, electric machinery, devices, systems and facilities for the safe, reliable, and economic generation and utilization of electrical energy for general industrial, commercial, public, and domestic consumption of electrical energy.