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» Stochastic MINLP optimization using simplicial approximation
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CDC
2010
IEEE
167views Control Systems» more  CDC 2010»
13 years 3 months ago
Numerical methods for the optimization of nonlinear stochastic delay systems, and an application to internet regulation
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
Harold J. Kushner
FOCS
2005
IEEE
14 years 2 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
GECCO
2010
Springer
227views Optimization» more  GECCO 2010»
14 years 6 days ago
Benchmarking SPSA on BBOB-2010 noisy function testbed
This paper presents the result for Simultaneous Perturbation Stochastic Approximation (SPSA) on the BBOB 2010 noisy testbed. SPSA is a stochastic gradient approximation strategy w...
Steffen Finck, Hans-Georg Beyer
CP
2005
Springer
14 years 2 months ago
Sub-optimality Approximations
Abstract. The sub-optimality approximation problem considers an optimization problem O, its optimal solution σ∗ , and a variable x with domain {d1, . . . , dm} and returns appro...
Russell Bent, Irit Katriel, Pascal Van Hentenryck
PE
2010
Springer
123views Optimization» more  PE 2010»
13 years 3 months ago
Evaluating fluid semantics for passive stochastic process algebra cooperation
Fluid modelling is a next-generation technique for analysing massive performance models. Passive cooperation is a popular cooperation mechanism frequently used by performance engi...
Richard A. Hayden, Jeremy T. Bradley