Publication detail

Multi-objective Design of EM Components

KADLEC, P. RAIDA, Z.

Original Title

Multi-objective Design of EM Components

English Title

Multi-objective Design of EM Components

Type

book chapter

Language

en

Original Abstract

Design of EM components is usually very demanding task. It comprises setting of large number of variables. With increasing number of variables, the number of possible combinations increases exponentially. Therefore, the use of global stochastic optimizers became essential. Use of multi-objective optimizers such as MOSOMA (Multi-Objective Self-Organizing Migrating Algorithm) gives the user extra knowledge about the solved problem and its contradictory requirements. In this chapter, applications of MOSOMA for solution of problems from electromagnetics are first briefly reviewed. Then, three applications are discussed more in detail: design of Yagi-Uda antenna array, design of dielectric layered filter and control of adaptive beamforming in time domain of slotted antenna array. Results of MOSOMA are compared with previously published solutions. The possibility how to treat problems having discrete decision space is discussed here.

English abstract

Design of EM components is usually very demanding task. It comprises setting of large number of variables. With increasing number of variables, the number of possible combinations increases exponentially. Therefore, the use of global stochastic optimizers became essential. Use of multi-objective optimizers such as MOSOMA (Multi-Objective Self-Organizing Migrating Algorithm) gives the user extra knowledge about the solved problem and its contradictory requirements. In this chapter, applications of MOSOMA for solution of problems from electromagnetics are first briefly reviewed. Then, three applications are discussed more in detail: design of Yagi-Uda antenna array, design of dielectric layered filter and control of adaptive beamforming in time domain of slotted antenna array. Results of MOSOMA are compared with previously published solutions. The possibility how to treat problems having discrete decision space is discussed here.

Keywords

MOSOMA, Multiobjective Optimization, Design, Electromagnetics

Released

09.02.2016

Publisher

Springer International Publishing

ISBN

978-3-319-28161-2

Book

Self-Organizing Migrating Algorithm Methodology and Implementation

Edition

Studies in Computational Intelligence

Pages from

105

Pages to

119

Pages count

15

URL

BibTex


@inbook{BUT121956,
  author="Petr {Kadlec} and Zbyněk {Raida}",
  title="Multi-objective Design of EM Components",
  annote="Design of EM components is usually very demanding task. It comprises
setting of large number of variables. With increasing number of variables, the
number of possible combinations increases exponentially. Therefore, the use of
global stochastic optimizers became essential. Use of multi-objective optimizers
such as MOSOMA (Multi-Objective Self-Organizing Migrating Algorithm) gives
the user extra knowledge about the solved problem and its contradictory requirements.
In this chapter, applications of MOSOMA for solution of problems from
electromagnetics are first briefly reviewed. Then, three applications are discussed
more in detail: design of Yagi-Uda antenna array, design of dielectric layered filter
and control of adaptive beamforming in time domain of slotted antenna array.
Results of MOSOMA are compared with previously published solutions. The
possibility how to treat problems having discrete decision space is discussed here.",
  address="Springer International Publishing",
  booktitle="Self-Organizing Migrating Algorithm Methodology and Implementation",
  chapter="121956",
  doi="10.1007/978-3-319-28161-2_5",
  edition="Studies in Computational Intelligence",
  howpublished="online",
  institution="Springer International Publishing",
  year="2016",
  month="february",
  pages="105--119",
  publisher="Springer International Publishing",
  type="book chapter"
}