用强化学习选择最佳适应度函数

2011 10th International Conference on Machine Learning and Applications and Workshops Pub Date : 2011-12-18 DOI:10.1109/ICMLA.2011.163

Arina Buzdalova, M. Buzdalov

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引用次数: 16

摘要

本文描述了一个优化问题，其中有一个目标函数和几个支持函数可以用来加速优化过程。提出了一种基于强化学习的遗传算法优化过程中选择良好支持函数的方法。最后给出了将该方法应用于模型问题的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Choosing Best Fitness Function with Reinforcement Learning

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.

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2011 10th International Conference on Machine Learning and Applications and Workshops

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