Journal
Scientific and technical journal of information technologies, mechanics and optics
UDK004.85
Issue:1 (77)
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FITNESS FUNCTION CHOOSING FOR GENETIC ALGORITHMS WITH REINFORCEMENT LEARNING
Annotation
This paper describes an optimization problem with one target function to be optimized and several supporting functions that can be used to speed up the optimization process. A method based on reinforcement learning is proposed for choosing a good supporting function during optimization using genetic algorithm. Application results of this method to a model problem solution are shown.
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