Behaviour of pseudo-random and chaotic sources of stochasticity in nature-inspired optimization methods

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092376" target="_blank" >RIV/61989100:27240/14:86092376 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/14:86092376

Výsledek na webu

<a href="http://dx.doi.org/10.1007/s00500-014-1223-y" target="_blank" >http://dx.doi.org/10.1007/s00500-014-1223-y</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00500-014-1223-y" target="_blank" >10.1007/s00500-014-1223-y</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Behaviour of pseudo-random and chaotic sources of stochasticity in nature-inspired optimization methods

Popis výsledku v původním jazyce

Stochasticity, noisiness, and ergodicity are the key concepts behind many natural processes and its modeling is an important part of their implementation. There is a handful of soft-computing methods that are directly inspired by nature or stochastic natural processes. The implementation of such a nature-inspired optimization and search methods usually depends on streams of integer and floating point numbers generated in course of their execution. The pseudo-random numbers are utilized for in-silico emulation of probability-driven natural processes such as arbitrary modification of genetic information (mutation, crossover), partner selection, and survival of the fittest (selection, migration) and environmental effects (small random changes in motion direction and velocity). Deterministic chaos is a well known mathematical concept that can be used to generate sequences of seemingly random real numbers within selected interval in a predictable and well controllable way. In the past, it h

Název v anglickém jazyce

Behaviour of pseudo-random and chaotic sources of stochasticity in nature-inspired optimization methods

Popis výsledku anglicky

Stochasticity, noisiness, and ergodicity are the key concepts behind many natural processes and its modeling is an important part of their implementation. There is a handful of soft-computing methods that are directly inspired by nature or stochastic natural processes. The implementation of such a nature-inspired optimization and search methods usually depends on streams of integer and floating point numbers generated in course of their execution. The pseudo-random numbers are utilized for in-silico emulation of probability-driven natural processes such as arbitrary modification of genetic information (mutation, crossover), partner selection, and survival of the fittest (selection, migration) and environmental effects (small random changes in motion direction and velocity). Deterministic chaos is a well known mathematical concept that can be used to generate sequences of seemingly random real numbers within selected interval in a predictable and well controllable way. In the past, it h

Druh

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

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

Soft computing

ISSN

1432-7643

e-ISSN

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Svazek periodika

18

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

619-629

Kód UT WoS článku

000333030800002

EID výsledku v databázi Scopus

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