The sensitivity of HyperNEAT to different geometric representations of a problem

Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009

Volumn , Issue , 2009, Pages 675-682

  Clune, Jeff ^a   Ofria, Charles ^a   Pennock, Robert T ^a  

^a MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Artificial neural networks; Developmental encoding; Generative encoding; Geometry; HyperNEAT; Indirect encoding; NEAT; Neuroevolution

Indexed keywords

APRIORI; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; DIRECT ENCODING; FUTURE DESIGNS; GEOMETRIC LAYOUT; GEOMETRIC REPRESENTATION; HYPERNEAT; KNOW-HOW; LEFT-RIGHT SYMMETRY; NEUROEVOLUTION; PROBLEM DOMAIN; QUADRUPED ROBOTS;

BACKPROPAGATION; COMPUTATIONAL GEOMETRY; ENCODING (SYMBOLS); MACHINE DESIGN;

NEURAL NETWORKS;

EID: 72749093558     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1569901.1569995     Document Type: Conference Paper

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