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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)
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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)
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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)
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skos:notation
| - RIV/68407700:21230/07:03129973!RIV08-MSM-21230___
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http://linked.open.../vavai/riv/strany
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/68407700:21230/07:03129973
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - data mining; evolutionary techniques; genetic algorithm; inductive modelling; optimization (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Proceedings of 41th Spring International Conference MOSIS\'07
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Buk, Zdeněk
- Šnorek, Miroslav
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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http://linked.open...n/vavai/riv/zamer
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number of pages
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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