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Description
| - This paper deals with creation of models by means of evolutionary algorithms, particularly with maintaining diversity of population using niching methods. Niching algorithms are known for their ability to search for more optima simultaneously. This is done by splitting the population of models into separate species. Species protect promising but yet not fully developed models. Search for more optima at the same time helps to avoid a premature convergence and therefore deals effectively with local optima. Efficiency of two different niching methods is compared on NEAT applied to the neuro-evolution of models.
- This paper deals with creation of models by means of evolutionary algorithms, particularly with maintaining diversity of population using niching methods. Niching algorithms are known for their ability to search for more optima simultaneously. This is done by splitting the population of models into separate species. Species protect promising but yet not fully developed models. Search for more optima at the same time helps to avoid a premature convergence and therefore deals effectively with local optima. Efficiency of two different niching methods is compared on NEAT applied to the neuro-evolution of models. (en)
- Článek pojednává o vytváření modelů pomocí evolučních algoritmů, zejména pak o udržování diverzity v populacích s použitím metod nichingu. Niching algoritmy jsou známy tím, že vyhledávájí současně více optim. Rozdělují populaci modelů do oddělených druhů. Rozdělení na druhy chrání slibné, ale ještě nedostatečně vyvinuté modely. Hledání více optim současně pomáhá řešit problém předčasné konvergence, a tím brání uváznutí v lokálních optimech. Článek porovnává dvě různé metody nichingu v systému pro evoluci neuronových sítí NEAT. (cs)
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Title
| - Maintaining Diversity in Population of Evolved Models
- Maintaining Diversity in Population of Evolved Models (en)
- Udržování diverzity v populacích modelů vzniklých evolucí (cs)
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skos:prefLabel
| - Maintaining Diversity in Population of Evolved Models
- Maintaining Diversity in Population of Evolved Models (en)
- Udržování diverzity v populacích modelů vzniklých evolucí (cs)
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skos:notation
| - RIV/68407700:21230/06:03128798!RIV07-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/68407700:21230/06:03128798
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - NEAT; diversity; evolutionary algorithms; niching algorithms; recurrent neural networks (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 40th Spring International Conference MOSIS 06, Modelling and Simulation of Systems
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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
| - Drchal, Jan
- Kordík, Pavel
- 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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