Adaptivní reálně kódovaný genetický algoritmus a jeho využití v optimalizaci EM struktur (část 1)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F07%3APU67138" target="_blank" >RIV/00216305:26220/07:PU67138 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Mean-adaptive Real-coding Genetic Algorithm and its Applications to Electromagnetic Optimization (Part One)

Popis výsledku v původním jazyce

In the paper, a novel instance of the real-coding steady-state genetic algorithm, called the Mean-adaptive real-coding genetic algorithm, is put forward. In this instance, three novel implementations of evolution operators are incorporated. Those are a recombination and two mutation operators. All of the evolution operators are designed with the aim of possessing a big explorative power. Moreover, one of the mutation operators exhibits self-adaptive behavior and the other exhibits adaptive behavior, thereby allowing the algorithm to self-control its own mutability as the search advances. This algorithm also takes advantage of population-elitist selection, acting as a replacement policy, being adopted from evolution strategies. The purpose of this paper(i.e., the first part) is to provide theoretical foundations of a robust, advanced and widely applicable instance of the real-coding genetic algorithm having a big potential of being successfully applied to electromagnetic optimization.

Název v anglickém jazyce

Mean-adaptive Real-coding Genetic Algorithm and its Applications to Electromagnetic Optimization (Part One)

Popis výsledku anglicky

In the paper, a novel instance of the real-coding steady-state genetic algorithm, called the Mean-adaptive real-coding genetic algorithm, is put forward. In this instance, three novel implementations of evolution operators are incorporated. Those are a recombination and two mutation operators. All of the evolution operators are designed with the aim of possessing a big explorative power. Moreover, one of the mutation operators exhibits self-adaptive behavior and the other exhibits adaptive behavior, thereby allowing the algorithm to self-control its own mutability as the search advances. This algorithm also takes advantage of population-elitist selection, acting as a replacement policy, being adopted from evolution strategies. The purpose of this paper(i.e., the first part) is to provide theoretical foundations of a robust, advanced and widely applicable instance of the real-coding genetic algorithm having a big potential of being successfully applied to electromagnetic optimization.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F07%2F0688" target="_blank" >GA102/07/0688: Pokročilé mikrovlnné struktury na netradičních substrátech</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2007

Kód důvěrnosti údajů

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

Název periodika

Radioengineering

ISSN

1210-2512

e-ISSN

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Svazek periodika

16

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

10

Strana od-do

9-18

Kód UT WoS článku

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EID výsledku v databázi Scopus

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