为什么在估计分布算法时必须使用重加权

Proceedings of the 11th Annual conference on Genetic and evolutionary computation Pub Date : 2009-07-08 DOI:10.1145/1569901.1569964

F. Teytaud, O. Teytaud

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引用次数: 17

摘要

我们研究了分布估计算法中分布的更新，并证明了一个简单的修改可以得到最优的无偏估计。简单的修改(基于对估计的适当重新加权)导致在过早收敛前的行为得到了强有力的改进。

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Why one must use reweighting in estimation of distribution algorithms

We study the update of the distribution in Estimation of Distribution Algorithms, and show that a simple modification leads to unbiased estimates of the optimum. The simple modification (based on a proper reweighting of estimates) leads to a strongly improved behavior in front of premature convergence.

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Proceedings of the 11th Annual conference on Genetic and evolutionary computation

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