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DAC
2000
ACM
16 years 20 days ago
Dynamic power management of complex systems using generalized stochastic Petri nets
In this paper, we introduce a new technique for modeling and solving the dynamic power management (DPM) problem for systems with complex behavioral characteristics such as concurr...
Qinru Qiu, Qing Wu, Massoud Pedram
GECCO
2010
Springer
211views Optimization» more  GECCO 2010»
15 years 23 days ago
Investigating EA solutions for approximate KKT conditions in smooth problems
Evolutionary algorithms (EAs) are increasingly being applied to solve real-parameter optimization problems due to their flexibility in handling complexities such as non-convexity,...
Rupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joyd...
NIPS
2008
15 years 1 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
METMBS
2003
138views Mathematics» more  METMBS 2003»
15 years 1 months ago
A Stochastic Method for Solving Inverse Problems in Epidemic Modelling
— We describe a stochastic optimization method that can be used to solve inverse problems in epidemic modelling. Although in general it cannot be expected that these inverse prob...
Dominik Novotni, Andreas Weber 0004
SIAMCO
2010
97views more  SIAMCO 2010»
14 years 6 months ago
Real-Time Nonlinear Optimization as a Generalized Equation
Abstract. We establish results for the problem of tracking a time-dependent manifold arising in realtime optimization by casting this as a parametric generalized equation. We demon...
Victor M. Zavala, Mihai Anitescu