Sciweavers

403 search results - page 28 / 81
» Sampling Bounds for Stochastic Optimization
Sort
View
EMO
2005
Springer
68views Optimization» more  EMO 2005»
14 years 3 months ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg
SIGECOM
2004
ACM
96views ECommerce» more  SIGECOM 2004»
14 years 3 months ago
A stochastic programming approach to scheduling in TAC SCM
In this paper, we combine two approaches to handling uncertainty: we use techniques for finding optimal solutions in the expected sense to solve combinatorial optimization proble...
Michael Benisch, Amy R. Greenwald, Victor Narodits...
SIGMETRICS
2010
ACM
206views Hardware» more  SIGMETRICS 2010»
14 years 2 months ago
Successive c-optimal designs: a scalable technique to optimize the measurements on large networks
We propose a new approach to optimize the deployment and the sampling rates of network monitoring tools, such as Netflow, on a large IP network. It reduces to solving a stochasti...
Guillaume Sagnol, Mustapha Bouhtou, Stephane Gaube...
SPAA
1996
ACM
14 years 2 months ago
Constant Time per Edge is Optimal on Rooted Tree Networks
We analyze the relationship between the expected packet delay in rooted tree networks and the distribution of time needed for a packet to cross an edge using convexity-based stoch...
Michael Mitzenmacher
AUTOMATICA
2008
100views more  AUTOMATICA 2008»
13 years 10 months ago
Sporadic event-based control of first-order linear stochastic systems
The standard approach in computer-controlled systems is to sample and control periodically. In certain applications, such as networked control systems or energy-constrained system...
Toivo Henningsson, Erik Johannesson, Anton Cervin