Choosing Best Fitness Function with Reinforcement Learning

Authors:
Arina Afanasyeva;Maxim Buzdalov
Affiliations:
-;-
Venue:
ICMLA '11 Proceedings of the 2011 10th International Conference on Machine Learning and Applications and Workshops - Volume 02
Year:
2011

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Generation of tests for programming challenge tasks using multi-objective optimization

Proceedings of the 15th annual conference companion on Genetic and evolutionary computation

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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.