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107
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GECCO
2009
Springer
134views Optimization» more  GECCO 2009»
15 years 5 months ago
Benchmarking the BFGS algorithm on the BBOB-2009 function testbed
The BFGS quasi-Newton method is benchmarked on the noiseless BBOB-2009 testbed. A multistart strategy is applied with a maximum number of function evaluations of 105 times the sea...
Raymond Ros
FCS
2006
15 years 1 months ago
Speeeding Up Markov Chain Monte Carlo Algorithms
We prove an upper bound on the convergence rate of Markov Chain Monte Carlo (MCMC) algorithms for the important special case when the state space can be aggregated into a smaller ...
Andras Farago
76
Voted
FOCM
2006
50views more  FOCM 2006»
15 years 17 days ago
Online Learning Algorithms
In this paper, we study an online learning algorithm in Reproducing Kernel Hilbert Spaces (RKHS) and general Hilbert spaces. We present a general form of the stochastic gradient m...
Steve Smale, Yuan Yao
CAGD
1999
101views more  CAGD 1999»
15 years 7 days ago
Approximation algorithms for developable surfaces
By its dual representation, a developable surface can be viewed as a curve of dual projective 3-space. After introducing an appropriate metric in the dual space and restricting ou...
Helmut Pottmann, Johannes Wallner
119
Voted
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
15 years 5 months ago
Benchmarking the BFGS algorithm on the BBOB-2009 noisy testbed
The BFGS quasi-Newton method is benchmarked on the noisy BBOB-2009 testbed. A multistart strategy is applied with a maximum number of function evaluations of about 104 times the s...
Raymond Ros