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» Evolving Artificial Neural Networks that Develop in Time
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ICES
2003
Springer
125views Hardware» more  ICES 2003»
14 years 18 days ago
Evolving Reinforcement Learning-Like Abilities for Robots
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...
Jesper Blynel
CEC
2007
IEEE
14 years 1 months ago
NEMO: neural enhancement for multiobjective optimization
— In this paper, a neural network approach is presented to expand the Pareto-optimal front for multiobjective optimization problems. The network is trained using results obtained...
Aaron Garrett, Gerry V. Dozier, Kalyanmoy Deb
CEC
2007
IEEE
13 years 11 months ago
Topology management in unstructured P2P networks using neural networks
Abstract-- Resource discovery is an essential problem in peerto-peer networks since there is no centralized index in which to look for information about resources. In a pure P2P ne...
Annemari Auvinen, Teemu Keltanen, Mikko Vapa
CEC
2009
IEEE
14 years 2 months ago
Evolving coordinated quadruped gaits with the HyperNEAT generative encoding
— Legged robots show promise for complex mobility tasks, such as navigating rough terrain, but the design of their control software is both challenging and laborious. Traditional...
Jeff Clune, Benjamin E. Beckmann, Charles Ofria, R...
CEC
2008
IEEE
14 years 1 months ago
Neuro-evolving maintain-station behavior for realistically simulated boats
— We evolve a neural network controller for a boat that learns to maintain a given bearing and range with respect to a moving target in the Lagoon 3D game environment. Simulating...
Nathan A. Penrod, David Carr, Sushil J. Louis, Bob...