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A Gaussian Process Based Algorithm for Stochastic Simulation Optimization with Input Distribution Uncertainty.
Haowei Wang
Szu Hui Ng
Xun Zhang
Published in:
WSC (2020)
Keyphrases
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stochastic simulation
gaussian process
probabilistic model
dynamic programming
input data
optimal solution
learning algorithm
expectation maximization
bayesian framework
worst case
simulated annealing
k means
energy function
dynamical systems
latent variables
simple examples