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  • V této práci navrhujeme nový algoritmus pro evoluci morfologie a řízení autonomních robotů ovládaných umělými neurónovými sítěmi. Navrhovaný algoritmus je rozšířením algoritmu by NeuroEvolution of Augmenting Topologies (NEAT) efektivně optimalizujícího neurónové sítě. Experimenty se simulovanými robotmi ukázali, že navrhovaný algoritmus potřebuje výrazně nižší počet vyhodnocení fitness funkce než standardní genetický algoritmus (cs)
  • We propose a novel algorithm for the evolution of morphology and control of autonomous robots controlled by artificial neural networks. The proposed algorithm is inspired by NeuroEvolution of Augmenting Topologies (NEAT) which efficiently evolves artificial neural networks. Large-scale experiments with simulated robots have shown that the proposed algorithm uses significantly less fitness evaluations than a standard genetic algorithm on all four tested fitness functions
  • We propose a novel algorithm for the evolution of morphology and control of autonomous robots controlled by artificial neural networks. The proposed algorithm is inspired by NeuroEvolution of Augmenting Topologies (NEAT) which efficiently evolves artificial neural networks. Large-scale experiments with simulated robots have shown that the proposed algorithm uses significantly less fitness evaluations than a standard genetic algorithm on all four tested fitness functions (en)
Title
  • Towards Efficient Evolutionary Design of Autonomous Robots
  • K efektivnímu evolučnímu návrhu autonomních robotů (cs)
  • Towards Efficient Evolutionary Design of Autonomous Robots (en)
skos:prefLabel
  • Towards Efficient Evolutionary Design of Autonomous Robots
  • K efektivnímu evolučnímu návrhu autonomních robotů (cs)
  • Towards Efficient Evolutionary Design of Autonomous Robots (en)
skos:notation
  • RIV/00216208:11650/08:00106601!RIV09-MSM-11650___
http://linked.open...avai/riv/aktivita
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  • N
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http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 400274
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11650/08:00106601
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http://linked.open.../riv/klicovaSlova
  • Robots; algorithm; neural networks (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [648BCEA69BCB]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Berlin, Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
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  • Krčah, Peter
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Springer-Verlag
https://schema.org/isbn
  • 978-3-540-85856-0
http://localhost/t...ganizacniJednotka
  • 11650
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