About: NEAT in HyperNEAT Substituted with Genetic Programming     Goto   Sponge   NotDistinct   Permalink

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  • In this paper we present application of genetic programming (GP) to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm with our implementation, in which we replaced the underlying NEAT with genetic programming. The algorithm was named HyperGP. The evolved neural networks were used as controllers of autonomous mobile agents (robots) in simulation. The agents were trained to drive with maximum average speed. This forces them to learn how to drive on roads and avoid collisions. The genetic programming lacking the NEAT complexification property shows better exploration ability and tends to generate more complex solutions in fewer generations. On the other hand, the basic genetic programming generates quite complex functions for weights generation. Both approaches generate neural controllers with similar abilities.
  • In this paper we present application of genetic programming (GP) to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm with our implementation, in which we replaced the underlying NEAT with genetic programming. The algorithm was named HyperGP. The evolved neural networks were used as controllers of autonomous mobile agents (robots) in simulation. The agents were trained to drive with maximum average speed. This forces them to learn how to drive on roads and avoid collisions. The genetic programming lacking the NEAT complexification property shows better exploration ability and tends to generate more complex solutions in fewer generations. On the other hand, the basic genetic programming generates quite complex functions for weights generation. Both approaches generate neural controllers with similar abilities. (en)
Title
  • NEAT in HyperNEAT Substituted with Genetic Programming
  • NEAT in HyperNEAT Substituted with Genetic Programming (en)
skos:prefLabel
  • NEAT in HyperNEAT Substituted with Genetic Programming
  • NEAT in HyperNEAT Substituted with Genetic Programming (en)
skos:notation
  • RIV/68407700:21230/09:00159310!RIV10-MSM-21230___
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
  • 328811
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/09:00159310
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Genetic programming; NEAT; Robot; Control; HyperNEAT (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [33D6ABF0904F]
http://linked.open...v/mistoKonaniAkce
  • Kuopio
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Adaptive and Natural Computing Algorithms
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
  • Koutník, Jan
  • Šnorek, Miroslav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 0302-9743
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-04920-0
http://localhost/t...ganizacniJednotka
  • 21230
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