44 search results - page 3 / 9 » Sequential sampling for solving stochastic programs |
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
The well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD ....
MP
2006
14 years 9 months ago
2006
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
84
Voted
APPROX
2005
Springer
15 years 3 months ago
2005
Springer
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
76
Voted
ISQED
2010
IEEE
14 years 11 months ago
2010
IEEE
Circuit design under process variation can be formulated mathematically as a robust optimization problem with a yield constraint. Existing methods force designers to either resort...
109
Voted
RSS
2007
14 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 ...