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A New Method of Exploring a Range of Genetic Parameters During the Execution of a Genetic Algorithm.
Adam Byerly
Alexander Uskov
Published in:
Int. J. Comput. Sci. Appl. (2016)
Keyphrases
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genetic algorithm
sensitivity analysis
significant improvement
objective function
dynamic programming
cost function
high precision
optimization method
parameter settings
similarity measure
high accuracy
parameter estimation
segmentation method
fine tuning