Dielectric filter optimal design suitable for microwave communications by using multiobjective evolutionary algorithms

被引：12

作者：

Goudos, S. K.

Zaharis, Z. D. ^{[1
]}

Salazar-Lechuga, M.

Lazaridis, P. I.

Gallion, P. B.

机构：

[1] Aristotle Univ Thessaloniki, Telecommun Ctr, Thessaloniki 54124, Greece

[2] Alexander Technol Educ Inst Thessaloniki, Dept Elect, Thessaloniki 57400, Greece

[3] Univ Birmingham, Sch Comp Sci, Birmingham B15 2TT, W Midlands, England

[4] Ecole Natl Super Telecommun 820, CNRS, Unite Rech Assoc, Dept Commun & Electron, F-75634 Paris 13, France

来源：

MICROWAVE AND OPTICAL TECHNOLOGY LETTERS | 2007年 / 49卷 / 10期

关键词：

microwave filters; dielectric filters; multiobjective optimization; pareto optimization; particle swarm optimization; evolutionary programming; genetic algorithms;

D O I：

10.1002/mop.22755

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：

A multiobjective evolutionary technique is applied to design dielectric fillers useful in communications technology. The optimal geometry of the filter is derived by utilizing two different multiobjective optimization algorithms. The first one is the Nondominated Sorting Genetic Algorithm-II (NSGA-II). Which is a popular multiobjective genetic algorithm. The second algorithm is based on multiobjective Particle Swarm Optimization with fitness sharing (MOPSO-fs). MOPSO-fs algorithim is a novel Pareto PSO algorithim that produces the Poreto from in a first and efficient way. In the present work. MOPSO-fs is compared with NSGA-II to optimize the geometry of the filters under specific requirements concerning the frequency response of the filters. Several examples are studied to exhibit the efficiency of the multiobjective optimal structures that can be used in practice. (c) 2007 Wiley Periodicals, Inc.

引用

页码：2324 / 2329

页数：6

共 63 条

[1]

New wide-aperture-dimension formula obtained by using a particle swarm optimization for optimum gain pyramidal horns [J].