遗传模拟退火算法在40.5kV真空断路器永磁驱动器优化设计中的应用

2006 12th Biennial IEEE Conference on Electromagnetic Field Computation Pub Date : 2006-06-05 DOI:10.1109/CEFC-06.2006.1633200

S. Ho, Y. Li, H. Cui, E. Lo, S.Y. Yang, H. Wong, K. Wong

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引用次数: 4

摘要

提出了一种将遗传算法(GA)和模拟退火算法(SA)相结合的新算法，该算法在效率上有显著提高。在电磁场计算的基础上，对40.5 kV真空断路器双稳态永磁作动器进行了优化设计

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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Niched Genetic Simulated Annealing Algorithm in the Optimization Design of a Permanent Magnetic Actuator for a 40.5kV Vacuum Circuit Breaker

A new algorithm combining genetic algorithm (GA) and simulated annealing (SA) algorithm with significant improvements on efficiency is proposed. Based on the calculation of the electromagnetic field, the optimization design of a bi-stable permanent magnetic (PM) actuator for a 40.5 kV vacuum circuit breaker (VCB) is developed

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2006 12th Biennial IEEE Conference on Electromagnetic Field Computation

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