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» Scenario-based Stochastic Constraint Programming
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SIAMJO
2008
72views more  SIAMJO 2008»
13 years 7 months ago
A Sample Approximation Approach for Optimization with Probabilistic Constraints
We study approximations of optimization problems with probabilistic constraints in which the original distribution of the underlying random vector is replaced with an empirical dis...
James Luedtke, Shabbir Ahmed
TASLP
2010
78views more  TASLP 2010»
13 years 2 months ago
Solving Demodulation as an Optimization Problem
We introduce two new methods for the demodulation of acoustic signals by posing the problem in a convex optimization framework. This allows the parameters of the modulator and carr...
Gregory Sell, Malcolm Slaney
UIST
1994
ACM
13 years 11 months ago
Evolutionary Learning of Graph Layout Constraints from Examples
We propose a new evolutionary method of extracting user preferences from examples shown to an automatic graph layout system. Using stochastic methods such as simulated annealing a...
Toshiyuki Masui
JAIR
2010
77views more  JAIR 2010»
13 years 6 months ago
Resource-Driven Mission-Phasing Techniques for Constrained Agents in Stochastic Environments
Because an agent’s resources dictate what actions it can possibly take, it should plan which resources it holds over time carefully, considering its inherent limitations (such a...
E. H. Durfee Wu, Edmund H. Durfee
CP
2007
Springer
14 years 1 months ago
Scheduling Conditional Task Graphs
The increasing levels of system integration in Multi-Processor System-on-Chips (MPSoCs) emphasize the need for new design flows for efficient mapping of multi-task applications o...
Michele Lombardi, Michela Milano