Surrogate-based optimisation for a hospital simulation scenario using pairwise classifiers.

Pablo S. Naharro Antonio LaTorre José-María Peña

Published in: GECCO Companion (2021)

Keyphrases

training samples
pairwise
training set
decision boundary
learning algorithm
real world
binary classifiers

health care
markov random field
information systems
simulation environment
similarity measure
pairwise classification
data sets

simulation model
higher order
classification accuracy
genetic algorithm
test set
loss function

point sets
multi class
supervised classification
decision trees
high risk
neural network