1149 search results - page 23 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
FMCAD
2007
Springer
15 years 2 months ago
2007
Springer
Parameterized heuristics abound in computer aided design and verification, and manual tuning of the respective parameters is difficult and time-consuming. Very recent results from ...
149
Voted
NIPS
2008
15 years 8 days ago
2008
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
ENGL
2008
14 years 11 months ago
2008
A population based real-time optimization method for tuning dynamic position control parameters of robot manipulators has been proposed. Conventionally, the positional control is a...
IWANN
2001
Springer
15 years 3 months ago
2001
Springer
This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...
GECCO
1999
Springer
15 years 3 months ago
1999
Springer
The Terrain-Based Genetic Algorithm (TBGA) is a self-tuning version of the traditional Cellular Genetic Algorithm (CGA). In a TBGA, various combinations of parameter values appear...