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» Terrain generation using genetic algorithms
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EC
2010
127views ECommerce» more  EC 2010»
13 years 6 months ago
Representation Invariant Genetic Operators
A genetic algorithm is invariant with respect to a set of representations if it runs the same no matter which of the representations is used. We formalize this concept mathematica...
Jonathan E. Rowe, Michael D. Vose, Alden H. Wright
ICRA
2006
IEEE
161views Robotics» more  ICRA 2006»
14 years 2 months ago
Quadruped Robot Obstacle Negotiation via Reinforcement Learning
— Legged robots can, in principle, traverse a large variety of obstacles and terrains. In this paper, we describe a successful application of reinforcement learning to the proble...
Honglak Lee, Yirong Shen, Chih-Han Yu, Gurjeet Sin...
GECCO
2010
Springer
186views Optimization» more  GECCO 2010»
13 years 10 months ago
Genetic rule extraction optimizing brier score
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Ulf Johansson, Rikard König, Lars Niklasson
HICSS
2003
IEEE
116views Biometrics» more  HICSS 2003»
14 years 2 months ago
On Optimization of Reliability of Distributed Generation-Enhanced Feeders
Placement of protection devices in a conventional feeder (without distributed generation) is often performed so as to minimize traditional reliability indices (SAIDI, SAIFI, MAIFI...
Aleksandar Pregelj, Miroslav Begovic, Ajeet Rohatg...
RAS
2010
117views more  RAS 2010»
13 years 7 months ago
Direct programming of a central pattern generator for periodic motions by touching
Much of the literature shows that Central Pattern Generators (CPGs) are a good approach for generating periodic motions for legged robots. In most of the presented works the numer...
Fabio Dalla Libera, Takashi Minato, Hiroshi Ishigu...