Microwave absorber optimal design using multi-objective particle swarm optimization

被引：57

作者：

Goudos, S. K. ^{[1
]}

Sahalos, J. N. ^{[1
]}

机构：

[1] Aristotle Univ Thessaloniki, Dept Phys, Radiocommun Lab, GR-54124 Thessaloniki, Greece

来源：

MICROWAVE AND OPTICAL TECHNOLOGY LETTERS | 2006年 / 48卷 / 08期

关键词：

microwave absorber design; particle swarm optimization; Pareto optimization; multiobjective optimization; multiobjective particle swarm optimization;

D O I：

10.1002/mop.21727

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 design of planar multilayer coatings with high absorption for a desired range of frequencies and angles is presented. The design technique is based on multiobjective particle swam optimization (MOPSO). Particle swarm optimization (PSO) is an evolutionaly optimization algorithm based on bird flight. Multiobjective PSO (MOPSO) is a Pareto PSO algorithm which produces the Pareto front fast and efficiently. MOPSO is used for several design cases and is compared with multiobjective genetic algorithms. Numerical results that are also compared with those existing in the literature shou, the advantages of this approach and the applicability of this design method. (c) 2006 Wiley Periodicals. Inc.

引用

页码：1553 / 1558

页数：6

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