79 search results - page 8 / 16 » Nonlinear Stochastic Optimization by the Monte-Carlo Method |
83
Voted
DAC
1996
ACM
15 years 1 months ago
1996
ACM
Abstract A divide-and-conquer algorithm for computing the parametric yield of large analog circuits is presented. The algorithm targets applications whose performance spreads could...
85
Voted
COR
2006
14 years 9 months ago
2006
A problem of assigning cooperating uninhabited aerial vehicles to perform multiple tasks on multiple targets is posed as a new combinatorial optimization problem. A genetic algori...
NIPS
2001
14 years 11 months ago
2001
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
AE
2005
Springer
15 years 3 months ago
2005
Springer
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...
DAC
2006
ACM
15 years 10 months ago
2006
ACM
For statistical timing and power analysis that are very important problems in the sub-100nm technologies, stochastic analysis of power grids that characterizes the voltage fluctua...