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ANOR
2006
59views more  ANOR 2006»
13 years 5 months ago
The empirical behavior of sampling methods for stochastic programming
Abstract. We investigate the quality of solutions obtained from sample-average approximations to two-stage stochastic linear programs with recourse. We use a recently developed sof...
Jeff Linderoth, Alexander Shapiro, Stephen Wright
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
13 years 11 months ago
On the behavioral diversity of random programs
Generating a random sampling of program trees with specified function and terminal sets is the initial step of many program evolution systems. I present a theoretical and experim...
Moshe Looks
MP
2006
90views more  MP 2006»
13 years 5 months ago
Solving multistage asset investment problems by the sample average approximation method
The vast size of real world stochastic programming instances requires sampling to make them practically solvable. In this paper we extend the understanding of how sampling affects ...
Jörgen Blomvall, Alexander Shapiro
APJOR
2010
112views more  APJOR 2010»
13 years 5 months ago
Sample Average Approximation Methods for a Class of Stochastic Variational inequality Problems
In this paper we apply the well known sample average approximation (SAA) method to solve a class of stochastic variational inequality problems (SVIPs). We investigate the existenc...
Huifu Xu
SIAMJO
2002
124views more  SIAMJO 2002»
13 years 5 months ago
The Sample Average Approximation Method for Stochastic Discrete Optimization
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
Anton J. Kleywegt, Alexander Shapiro, Tito Homem-d...