Abstract
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. Results of applying this method to a model problem are shown.
Original language | English |
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Title of host publication | ICMLA '11 |
Subtitle of host publication | Proceedings of the 2011 10th International Conference on Machine Learning and Applications and Workshops |
Publisher | IEEE Press |
Pages | 354-357 |
Number of pages | 4 |
Volume | 2 |
ISBN (Print) | 978-1-4577-2134-2 |
DOIs | |
Publication status | Published - 11 Dec 2011 |
Externally published | Yes |