Global optimization of electromagnetic devices using an exponential quantum-behaved particle swarm optimizer

被引：60

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：

electromagnetic optimization; particle swarm optimization; quantum mechanics; TEAM; 22; problem;

D O I：

10.1109/TMAG.2007.916032

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：

Particle swarm optimization is a population-based swarm intelligence algorithm based on the simulation of a social psychological metaphor instead of the survival of the fittest individual paradigm. Inspired by the classical particle swarm method and quantum mechanics theories, this work presents a new quantum-behaved approach using a mutation operator with exponential probability distribution. The simulation results demonstrate good performance of the proposed algorithm in solving a significant benchmark problem in electromagnetics, namely the TEAM workshop benchmark problem 22.

引用

页码：1074 / 1077

页数：4

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