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Description
  • Tento článek popisuje přírodou inspirované metody pro optimalizaci modelů. Popíšeme novou metodu založenou na standardním genetickém algoritmu rozšířeném o některé nové parametry jedinců, metody reprodukce a adaptace, kódování jedinců, reprezentaci populace a techniky řízení velikosti populace. Tato metoda - Algoritmus kontinuální evoluce (Continual Evolution Algorithm) kombinuje evoluční přístup a gradientní metody adaptace jedinců. Optimalizační proces probíhá ve spojitém čase s využitím proměnné velikosti populace. Motivací pro používání a vylepšování těchto metod optimalizace a tvorby modelů je získání lepších, kvalitnějších modelů pro popis dat nebo systémů a získávání nových znalostí z těchto modelů. (cs)
  • In this paper methods inspired by nature for models optimizations are shown. We describe mainly a~novel approach based on a~standard genetic algorithm advanced by some new parameters of individuals, methods of reproduction and adaptation, a way of individuals' encoding, a population of individuals representation, and a population size balancing technique. This method called Continual Evolution Algorithm combines evolution based process and gradient methods of individuals adaptation. Whole process runs in a continual time using a variable size of population. Motivations for using and improving methods for creation and optimization of models are a better adaptation of the models describing some given data or systems and knowledge extraction from such models.
  • In this paper methods inspired by nature for models optimizations are shown. We describe mainly a~novel approach based on a~standard genetic algorithm advanced by some new parameters of individuals, methods of reproduction and adaptation, a way of individuals' encoding, a population of individuals representation, and a population size balancing technique. This method called Continual Evolution Algorithm combines evolution based process and gradient methods of individuals adaptation. Whole process runs in a continual time using a variable size of population. Motivations for using and improving methods for creation and optimization of models are a better adaptation of the models describing some given data or systems and knowledge extraction from such models. (en)
Title
  • Nature Inspired Methods for Models Creation and Optimization
  • Nature Inspired Methods for Models Creation and Optimization (en)
  • Přírodou inspirované metody pro vytváření a optimalizaci modelů (cs)
skos:prefLabel
  • Nature Inspired Methods for Models Creation and Optimization
  • Nature Inspired Methods for Models Creation and Optimization (en)
  • Přírodou inspirované metody pro vytváření a optimalizaci modelů (cs)
skos:notation
  • RIV/68407700:21230/07:03129973!RIV08-MSM-21230___
http://linked.open.../vavai/riv/strany
  • 56;62
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 436329
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/07:03129973
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • data mining; evolutionary techniques; genetic algorithm; inductive modelling; optimization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [08F7DE005B15]
http://linked.open...v/mistoKonaniAkce
  • Rožnov pod Radhoštěm
http://linked.open...i/riv/mistoVydani
  • Ostrava
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 41th Spring International Conference MOSIS\'07
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Buk, Zdeněk
  • Šnorek, Miroslav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • MARQ
https://schema.org/isbn
  • 978-80-86840-30-7
http://localhost/t...ganizacniJednotka
  • 21230
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