GA and PSO Based Approaches for Fast Optimization of External Rotor Switched Reluctance Motor Design Parameters

IF 0.7 4区工程技术 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Advances in Electrical and Computer Engineering Pub Date : 2023-01-01 DOI:10.4316/aece.2023.02002

M. Polat, A. Yıldız

引用次数: 0

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基于遗传算法和粒子群算法的外转子开关磁阻电机设计参数快速优化

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

Advances in Electrical and Computer Engineering 工程技术-工程：电子与电气

CiteScore

1.80

自引率

12.50%

发文量

审稿时长

24 months

期刊介绍： The principal aim of the journal is to bring together the latest research and development in various fields of science and technology such as computers science, artificial intelligence, pattern recognition, knowledge engineering, process control theory and applications, distributed systems and computer networks, electronics, communications, data transmission, software engineering, energy converters, control of electric drive systems, non-conventional energy conversion, sensors, transducers modeling and design, electro-physics, and nanotechnology.