403 search results - page 7 / 81 » Sampling Bounds for Stochastic Optimization |
GECCO
2007
Springer
14 years 4 months ago
2007
Springer
A method is presented that allows one to exactly determine all the characteristics of a PSO’s sampling distribution and explain how it changes over time, in the presence stochas...
ICCAD
2007
IEEE
14 years 6 months ago
2007
IEEE
Increasing effects of fabrication variability have inspired a growing interest in statistical techniques for design optimization. In this work, we propose a Monte-Carlo driven sto...
RSS
2007
13 years 11 months ago
2007
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
AIPS
2010
14 years 4 days ago
2010
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
A novel stochastic searching scheme based on the Monte Carlo optimization is presented for polygonal approximation (PA) problem. We propose to combine the split-and-merge based lo...