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Simultaneous perturbation stochastic approximation

Known as: SPSA 
Simultaneous perturbation stochastic approximation (SPSA) is an algorithmic method for optimizing systems with multiple unknown parameters. It is a… 
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Papers overview

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2013
2013
A stopping rule for simultaneous perturbation stochastic approximation
A stopping rule is developed for simultaneous perturbation stochastic approximation (SPSA) which is an iterative method for… 
2012
2012
Self Tuning of PID Controller Based on Simultaneous Perturbation Stochastic Approximation
A model need to be identified for the controlled plant when applying advanced strategies to determine the parameters of a PID… 
2011
2011
On Efficiency of Simultaneous Perturbation Stochastic Approximation Method for Implementation of an Adaptive Filter
In this paper, the simultaneous perturbation stochastic approximation (SPSA) algorithm is used for seeking optimal parameters in… 
2010
2010
Passive Filter Planning Using Simultaneous Perturbation Stochastic Approximation
Power quality in distribution systems may deteriorate due to an increase in nonlinear loads. The single-tuned passive filter is… 
2010
2010
Application of Simultaneous Perturbation Stochastic Approximation Algorithm in Parameter Calibration of VISSIM Microscope Simulation Model
Microscopic traffic simulation models have been widely applied in transportation management,control,and optimization.However… 
2008
2008
Optimization of Dynamic Ramp Metering Control with Simultaneous perturbation stochastic Approximation
Congestion is always a serious problem in many transportation commuting corridors. The need to implement effective control in the… 
2007
2007
Solving discrete resource allocation problems using the Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm
We investigate optimization techniques for solving a class of discrete resource allocation problems, including several discrete… 
2001
2001
Global random optimization by simultaneous perturbation stochastic approximation
A desire with iterative optimization techniques is that the algorithm reach the global optimum rather than get stranded at a… 
2000
2000
Simulation optimization of airline delay using simultaneous perturbation stochastic approximation
Air traffic delay is a growing and expensive problem. We looked at ways to reduce the cost and magnitude of such delays by… 
1994
1994
Optimizing discrete event systems with the simultaneous perturbation stochastic approximation algorithm
  • S. HillM. Fu
  • Proceedings of 33rd IEEE Conference on Decision…
  • 1994
  • Corpus ID: 62338140
Stochastic approximation is one method that has been applied to the optimization of discrete-event systems requiring simulation… 
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