Application of vector optimization employing modified genetic algorithm to permanent magnet motor design

Autor:	Hyun-Kyo Jung, Dong-Joon Sim, Song-Yop Hahn, Jong-Soo Won
Rok vydání:	1997
Předmět:	Mathematical optimization Vector optimization Computer science Genetic algorithm Solution set Permanent magnet motor Electrical and Electronic Engineering Synchronous motor Electronic Optical and Magnetic Materials
Zdroj:	IEEE Transactions on Magnetics. 33:1888-1891
ISSN:	0018-9464
DOI:	10.1109/20.582654
Popis:	This paper presents a method to solve the vector optimization problem that determines both the noninferior solution set and the best compromise solution employing a modified genetic algorithm. The algorithm differs from the conventional one in the definition of fitness value and convergence criterion. Some parameters of the algorithm are adjusted to the vector optimization. The algorithm also contains the additional routine for searching the best compromise solution. This method is applied to the optimal design of the permanent magnet synchronous motor for which two objective functions regarding motor efficiency and weight are used.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::915cf710d1913d5dc92f10d6da8baafe https://doi.org/10.1109/20.582654 Zobrazit plný text záznamu