OPTIMIZATION OF EDDY-CURRENT HEATING PROCESS USING GENETIC ALGORITHMS

被引：0

作者：

Leuca, Teodor ^{[1
]}

Novac, Mihaela ^{[1
]}

机构：

[1] Univ Oradea, Fac Elect Engn & Informat Technol, Oradea 410087, Romania

来源：

REVUE ROUMAINE DES SCIENCES TECHNIQUES-SERIE ELECTROTECHNIQUE ET ENERGETIQUE | 2009年 / 54卷 / 04期

关键词：

Eddy-current heating; Genetic algorithms; Multiobjective optimization;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The aim of this paper is to investigate the evolutionary optimization technique which can be applied in the design of electromagnetic devices, in particular case Of the induction heaters in order to automate some parts of the designing process. For electromagnetic problems, the optimal design is usually a multiobjective task with different specifications, often in conflict among them, have to be pursued with several design degrees of freedom, which are the design parameters. Also, the device parameters have to satisfy some technological and physical constraints. Therefore it is necessary to use a multiobjective optimization strategy

引用

页码：355 / 363

页数：9