Work

Optimal design of superconducting generator using genetic algorithm and simulated annealing

Year: 2004

Type: article

Source: IEE Proceedings - Electric Power Applications

DOI: 10.1049/ip-epa:20040352

Authors: S.I. Han, I. Muta, T. Hoshino, T. Nakamura, N. Maki

Institutions: Kyoto University, Tokai University

Language: English

Topic: Electric Motor Design and Analysis

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W1963546909

FWCI: 0.327

Cites: 10

Cited by: 24

Related to: 10