4.6 Article

A tutorial on the cross-entropy method

期刊

ANNALS OF OPERATIONS RESEARCH
卷 134, 期 1, 页码 19-67

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SPRINGER
DOI: 10.1007/s10479-005-5724-z

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cross-entropy method; Monte-Carlo simulation; randomized optimization; machine learning; rare events

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The cross-entropy (CE) method is a new generic approach to combinatorial and multi-extremal optimization and rare event simulation. The purpose of this tutorial is to give a gentle introduction to the CE method. We present the CE methodology, the basic algorithm and its modifications, and discuss applications in combinatorial optimization and machine learning.

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