Electromagnetic Optimization Using a Cultural Self-Organizing Migrating Algorithm Approach Based on Normative Knowledge

被引：22

作者：

Coelho, Leandro dos Santos ^{[2
]}

Alotto, Piergiorgio ^{[1
]}

机构：

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

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

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2009年 / 45卷 / 03期

关键词：

Cultural algorithm; electromagnetic optimization; Loney's solenoid design; self-organizing migrating algorithm (SOMA); DESIGN;

D O I：

10.1109/TMAG.2009.2012668

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：

A new class of stochastic optimization algorithms called the self-organizing migrating algorithm (SOMA) has recently been proposed. SOMA works on a population of potential solutions called specimen and is based on the self-organizing behavior of groups of individuals in a "social environment." This paper introduces a modified SOMA approach based on an operator featuring normative knowledge, a characteristic of cultural algorithms. The efficiency of the proposed method is tested on Loney's solenoid design.

引用

页码：1446 / 1449

页数：4

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