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A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems.
Bo Liu
Qingfu Zhang
Georges G. E. Gielen
Published in:
IEEE Trans. Evol. Comput. (2014)
Keyphrases
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evolutionary algorithm
optimization problems
gaussian process
probabilistic model
bayesian framework
objective function
probability distribution
prior information
gaussian processes
data sets
active learning
pose estimation
gaussian process regression
dynamical model
gaussian process models