Multi-objective Design of EM Components

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU117912" target="_blank" >RIV/00216305:26220/16:PU117912 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007/978-3-319-28161-2_5" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-28161-2_5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-28161-2_5" target="_blank" >10.1007/978-3-319-28161-2_5</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Multi-objective Design of EM Components

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Multi-objective Design of EM Components

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

<a href="/cs/project/LO1401" target="_blank" >LO1401: Interdisciplinární výzkum bezdrátových technologií</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Self-Organizing Migrating Algorithm Methodology and Implementation

ISBN

978-3-319-28161-2

Počet stran výsledku

15

Strana od-do

105-119

Počet stran knihy

289

Název nakladatele

Springer International Publishing

Místo vydání

Neuveden

Kód UT WoS kapitoly

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