QPSO with avoidance behaviour to solve electromagnetic optimization problems

被引：5

作者：

Duca, Anton ^{[1
,2
]}

Duca, Laurentiu ^{[2
]}

Ciuprina, Gabriela ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Fac Elect Engn, 313 Splaiul Independentei, Bucharest 060042, Romania

[2] Univ Politehn Bucuresti, Fac Comp Sci, Bucharest, Romania

来源：

INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS | 2019年 / 59卷 / 01期

关键词：

PSO; QPSO; avoidance behaviour; optimization; electromagnetic field; PARTICLE SWARM OPTIMIZATION; GLOBAL OPTIMIZATION;

D O I：

10.3233/JAE-171170

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 paper proposes a new set of improved Quantum-behaved Particle Swarm Optimization (QPSO) algorithms by using the avoidance from the worst behaviour. The avoidance behaviour, which consist in introducing personal/local or global worst terms, are applied to the attractor's formula. The enhanced QPSO algorithms are targeted towards benchmark electromagnetic optimization problems, and their efficiency is tested and tuned on Loney's solenoid.

引用

页码：63 / 69

页数：7

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