Choosing Best Fitness Function with Reinforcement Learning

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)


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 languageEnglish
Title of host publicationICMLA '11
Subtitle of host publicationProceedings of the 2011 10th International Conference on Machine Learning and Applications and Workshops
PublisherIEEE Press
Number of pages4
ISBN (Print)978-1-4577-2134-2
Publication statusPublished - 11 Dec 2011
Externally publishedYes


Dive into the research topics of 'Choosing Best Fitness Function with Reinforcement Learning'. Together they form a unique fingerprint.

Cite this