OneMax可以使用EA+RL方法帮助优化LeadingOnes吗?

2015 IEEE Congress on Evolutionary Computation (CEC) Pub Date : 2015-05-25 DOI:10.1109/CEC.2015.7257100

M. Buzdalov, Arina Buzdalova

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引用次数: 8

摘要

在优化过程中，存在着待优化目标和多个额外目标的优化问题。EA+RL方法的目的是控制优化算法解决有额外目标的问题。该方法基于使用自适应在线目标选择的强化学习。

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Can OneMax help optimizing LeadingOnes using the EA+RL method?

There exist optimization problems with the target objective, which is to be optimized, and several extra objectives, which can be helpful in the optimization process. The EA+RL method is designed to control optimization algorithms which solve problems with extra objectives. The method is based on the use of reinforcement learning for adaptive online selection of objectives.

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2015 IEEE Congress on Evolutionary Computation (CEC)

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