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DAGSTUHL
2007
13 years 6 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
ANOR
2004
122views more  ANOR 2004»
13 years 4 months ago
Call Center Staffing with Simulation and Cutting Plane Methods
We present an iterative cutting plane method for minimizing staffing costs in a service system subject to satisfying acceptable service level requirements over multiple time perio...
Júlíus Atlason, Marina A. Epelman, S...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
13 years 10 months ago
A genetic algorithm approach to the selection of near-optimal subsets from large sets
The problem attempted in this paper is to select a sample from a large set where the sample is required to have a particular average property. The problem can be expressed as an o...
P. Whiting, P. W. Poon, J. N. Carter
SAGA
2005
Springer
13 years 10 months ago
Dynamic Facility Location with Stochastic Demands
Abstract. In this paper, a Stochastic Dynamic Facility Location Problem (SDFLP) is formulated. In the first part, an exact solution method based on stochastic dynamic programming ...
Martin Romauch, Richard F. Hartl
WSC
2008
13 years 7 months ago
Optimizing portfolio tail measures: Asymptotics and efficient simulation optimization
We consider a portfolio allocation problem where the objective function is a tail event such as probability of large portfolio losses. The dependence between assets is captured th...
Sandeep Juneja