Modified Multi-Objective Particle Swarm Optimization for electromagnetic absorber design

被引：39

作者：

Chamaani, S. ^{[1
]}

Mirtaheri, S. A. ^{[1
]}

Teshnehlab, M. ^{[1
]}

Shoorehdeli, M. A. ^{[1
]}

Seydi, V. ^{[1
]}

机构：

[1] KN Toosi Univ Technol, Fac Elect Engn, Tehran, Iran

来源：

PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER | 2008年 / 79卷

关键词：

D O I：

10.2528/PIER07101702

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 [电气工程]; 0809 [电子科学与技术];

摘要：

Use of Multi-Objective Particle Swarm Optimization for designing of planar multilayered electromagnetic absorbers and finding optimal Pareto front is described. The achieved Pareto presents optimal possible trade-offs between thickness and reflection coefficient of absorbers. Particle swarm optimization method in comparison with most of optimization algorithms such as genetic algorithms is simple and fast. But the basic form of Multi-objective Particle Swarm Optimization may not obtain the best Pareto. We applied some modi. cations to make it more efficient in finding optimal Pareto front. Comparison with reported results in previous articles confirms the ability of this algorithm in finding better solutions.

引用

页码：353 / 366

页数：14

共 14 条

[1]

CHAMAANI S, 2006, P 2006 ANT URS MONTR, P629

[2]

Synthesis of circular antenna array using crossed particle swarm optimization algorithm [J].