Loney's solenoid design using an artificial immune network with local search based on the simplex method

被引：4

作者：

Coelho, Leandro dos Santos ^{[2
]}

Alotto, Piergiorgio ^{[1
]}

机构：

[1] Univ Padua, Dip Ingn Elettr, I-35131 Padua, Italy

[2] Pontif Catholic Univ Parana, Automat & Syst Lab, BR-80215901 Recife, PE, Brazil

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2008年 / 44卷 / 06期

关键词：

artificial immune networks; electromagnetic optimization; local search; Loney's solenoid design;

D O I：

10.1109/TMAG.2007.916034

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 use of automatic optimization procedures for designing electromagnetic devices is becoming more and more common. Many of these problems are described by nonlinear relationships, which introduce the possibility of multiple local minima. Artificial immune systems are learning and optimization methods that can be applied to the solution of many different types of optimization problems in electromagnetics. In this paper, the shape design of Loney's solenoid benchmark problem is carried out by an optimization method (opt-aiNet) inspired by an artificial immune network which is combined with a local search (Nelder-Mead simplex search method). Comparisons between the results obtained by opt-aiNet and opt-aiNet with local search are reported and commented.

引用

页码：1070 / 1073

页数：4

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