Comparing parameter tuning methods for evolutionary algorithms.

Selmar K. Smit A. E. Eiben

Published in: IEEE Congress on Evolutionary Computation (2009)

Keyphrases

parameter tuning
evolutionary algorithm
significant improvement
computational cost
parameter settings
sufficient conditions
ink bleed
hybrid method
multi objective optimization
optimization methods
benchmark datasets
empirical studies
data sets
probabilistic model
preprocessing
information retrieval
neural network