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UIST
1994
ACM
15 years 11 months ago
Evolutionary Learning of Graph Layout Constraints from Examples
We propose a new evolutionary method of extracting user preferences from examples shown to an automatic graph layout system. Using stochastic methods such as simulated annealing a...
Toshiyuki Masui
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
15 years 8 months ago
Using feature-based fitness evaluation in symbolic regression with added noise
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
Janine H. Imada, Brian J. Ross
CPHYSICS
2007
114views more  CPHYSICS 2007»
15 years 6 months ago
GDF v2.0, an enhanced version of GDF
An improved version of the function estimation program GDF is presented. The main enhancements of the new version include: multi-output function estimation, capability of definin...
Ioannis G. Tsoulos, Dimitris Gavrilis, Evangelos D...
IJRR
2002
66views more  IJRR 2002»
15 years 6 months ago
Morse Decompositions for Coverage Tasks
Exact cellular decompositions represent a robot's free space by dividing it into regions with simple structure such that the sum of the regions fills the free space. These de...
Ercan U. Acar, Howie Choset, Alfred A. Rizzi, Pras...
IJRR
2011
99views more  IJRR 2011»
15 years 1 months ago
Unifying geometric, probabilistic, and potential field approaches to multi-robot deployment
This paper unifies and extends several different existing strategies for deploying groups of robots in an environment. A cost function is proposed that can be specialized to rep...
Mac Schwager, Daniela Rus, Jean-Jacques E. Slotine