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HYPERNEAT

HyperNEAT

Generative encoding that evolves artificial neural networks

Hypercube-based NEAT, or HyperNEAT, is a generative encoding that evolves artificial neural networks (ANNs) with the principles of the widely used NeuroEvolution

HyperNEAT

Neuroevolution of augmenting topologies

Genetic algorithm for making artificial neural networks

that unbounded automated growth would generate unnecessary structure. HyperNEAT is specialized to evolve large scale structures. It was originally based

Neuroevolution of augmenting topologies

Neuroevolution_of_augmenting_topologies

Neuroevolution

Form of artificial intelligence

Evolutionary computation NeuroEvolution of Augmenting Topologies (NEAT) HyperNEAT (A Generative version of NEAT) Evolutionary Acquisition of Neural Topologies

Neuroevolution

Compositional pattern-producing network

Variation of artificial neural networks

powerful encoding when evolving the following: Neural networks, via the HyperNEAT algorithm, 2D images, on "PicBreeder.org" Archived 2011-07-25 at the Wayback

Compositional pattern-producing network

Compositional_pattern-producing_network

Kenneth Stanley

Artificial intelligence researcher, author

which led the development of Galactic Arms Race. He also developed the HyperNEAT, CPPNs, and novelty search algorithms. He also co-founded Geometric Intelligence

Kenneth Stanley

Kenneth_Stanley

Evolutionary algorithm

Subset of evolutionary computation

Ofria, and Robert Pennock. "Evolving Coordinated Quadruped Gaits with the HyperNEAT Generative Encoding" Archived 2016-06-03 at the Wayback Machine. Proceedings

Evolutionary algorithm