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CCE
2004
15 years 5 months ago
Stochastic maximum principle for optimal control under uncertainty
Optimal control problems involve the difficult task of determining time-varying profiles through dynamic optimization. Such problems become even more complex in practical situatio...
Vicente Rico-Ramírez, Urmila M. Diwekar
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
16 years 2 days ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
SNPD
2003
15 years 7 months ago
Deductive and Inductive Methods for Program Synthesis
The paper discusses simple functional constraint networks and a value propagation method for program construction. Structural synthesis of programs is described as an example of d...
Jaan Penjam, Elena Sanko
IPCO
2008
114views Optimization» more  IPCO 2008»
15 years 7 months ago
The Stochastic Machine Replenishment Problem
We study the stochastic machine replenishment problem, which is a canonical special case of closed multiclass queuing systems in Markov decision theory. The problem models the sche...
Kamesh Munagala, Peng Shi
IOR
2008
105views more  IOR 2008»
15 years 5 months ago
The Stochastic Knapsack Revisited: Switch-Over Policies and Dynamic Pricing
The stochastic knapsack has been used as a model in wide ranging applications from dynamic resource allocation to admission control in telecommunication. In recent years, a variat...
Grace Y. Lin, Yingdong Lu, David D. Yao