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pro vyhledávání: '"Peter Krcah"'
Autor:
Peter Krcah
Publikováno v:
Adaptive Behavior. 25:44-59
Many animals are able to modify their morphology during their lifetime in response to changes in the environment. Such modifications are often adaptive—they can improve individual’s chances of survival and reproduction. In this paper we explore t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6068aa2a207021785bd0eb597b792eb8
https://doi.org/10.1177/1059712317700693
https://doi.org/10.1177/1059712317700693
Autor:
Léni K. Le Goff, Simon Thibault, Antoine Fŕenoy, Sara Mitri, Peter Krcah, Charles Ofria, Laurent Keller, Marc Schoenauer, Stéphane Doncieux, Patryk Chrabaszcz, Carole Knibbe, Jeff Clune, Guillaume Beslon, Samuel Bernard, François Taddei, Robert T. Pennock, David M. Bryson, Anh Nguyen, Robert Feldt, Stephanie Forrest, William F. Punch, Carlos Maestre, Lee Altenberg, Hod Lipson, David E. Moriarty, Antoine Cully, Christoph Adami, Westley Weimer, Jason Yosinski, Frank Hutter, Thomas S. Ray, Marc Parizeau, Jean-Baptiste Mouret, Julie Beaulieu, Peter J. Bentley, Fred C. Dyer, Risto Miikkulainen, Karl Sims, Nick Cheney, David P. Parsons, Laura M. Grabowski, Eric Schulte, Dusan Misevic, Joel Lehman, Richard E. Lenski, Babak Hodjat, Christian Gagné, Robert MacCurdy, Kenneth O. Stanley, Richard A. Watson, Danesh Tarapore, Kai Olav Ellefsen, Stephan Fischer
Publikováno v:
Artificial Life
Artificial Life, Massachusetts Institute of Technology Press (MIT Press), 2020, 26 (2), pp.274-306. ⟨10.1162/artl_a_00319⟩
BASE-Bielefeld Academic Search Engine
Artificial Life, 2020, 26 (2), pp.274-306. ⟨10.1162/artl_a_00319⟩
Artificial Life, Massachusetts Institute of Technology Press (MIT Press), 2020, 26 (2), pp.274-306. ⟨10.1162/artl_a_00319⟩
BASE-Bielefeld Academic Search Engine
Artificial Life, 2020, 26 (2), pp.274-306. ⟨10.1162/artl_a_00319⟩
International audience; Evolution provides a creative fount of complex and subtle adaptations that often surprise the scientists who discover them. However, the creativity of evolution is not limited to the natural world: artificial organisms evolvin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d461184cb983aabf8be6e2b94860132
http://arxiv.org/abs/1803.03453
http://arxiv.org/abs/1803.03453
Autor:
Peter Krcah
Publikováno v:
From Animals to Animats 14 ISBN: 9783319434872
SAB
SAB
Many animals are able to modify their morphology during their lifetime in response to changes in the environment. Such modifications are often adaptive—they can improve individual’s chances of survival and reproduction. In this paper we explore t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61ae88d465d444972f6958bed02cbfbe
https://doi.org/10.1007/978-3-319-43488-9_11
https://doi.org/10.1007/978-3-319-43488-9_11
Autor:
Peter Krcah
Publikováno v:
Intelligent Systems Reference Library ISBN: 9783642233623
ISDA
ISDA
Evolutionary algorithms are a frequently used technique for designing morphology and controller of a robot. However, a significant challenge for evolutionary algorithms is premature convergence to local optima. Recently proposed Novelty Search algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a070564f2bf8f92a65d7ffb685ae4659
https://doi.org/10.1007/978-3-642-23363-0_7
https://doi.org/10.1007/978-3-642-23363-0_7
Autor:
Peter Krcah
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642344121
LION
LION
Using genetic algorithms for solving dynamic optimization problems is an important area of current research. In this work, we investigate effects of speciation in NeuroEvolution of Augmenting Topologies (NEAT), a well-known method for evolving neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea55493a557586b0ce65b5b03da68267
https://doi.org/10.1007/978-3-642-34413-8_39
https://doi.org/10.1007/978-3-642-34413-8_39
Autor:
Peter Krcah
Publikováno v:
Evolvable Systems: From Biology to Hardware ISBN: 9783540858560
ICES
ICES
Recent works explored the possibility of designing physical robots using evolutionary algorithms. We propose a novel algorithm for the evolution of morphology and control of autonomous robots controlled by artificial neural networks. The proposed alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::053d508610b87c80849f692b8dd803b1
https://doi.org/10.1007/978-3-540-85857-7_14
https://doi.org/10.1007/978-3-540-85857-7_14
Autor:
Peter Krcah
Publikováno v:
GECCO
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then,several novel approaches to neural network evolution and genetic algorithms have been proposed. The aim of our work is to apply recent results in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5741a9fccbe0161f3322e426457874f
https://doi.org/10.1145/1276958.1284700
https://doi.org/10.1145/1276958.1284700