512 search results - page 90 / 103 » On Evolutionary Optimization of Large Problems Using Small P... |
154
Voted
SIAMJO
2010
15 years 1 months ago
2010
This paper introduces a novel algorithm to approximate the matrix with minimum nuclear norm among all matrices obeying a set of convex constraints. This problem may be understood a...
121
Voted
AAAI
2000
15 years 4 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
100
Voted
GECCO
2007
Springer
15 years 8 months ago
2007
Springer
In nature, systems with enormous numbers of components (i.e. cells) are evolved from a relatively small genotype. It has not yet been demonstrated that artificial evolution is su...
128
Voted
DATE
2005
IEEE
15 years 8 months ago
2005
IEEE
A novel energy reduction strategy to maximally exploit the dynamic workload variation is proposed for the offline voltage scheduling of preemptive systems. The idea is to construc...
110
Voted
SDM
2009
SIAM
15 years 12 months ago
2009
SIAM
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...