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Convergence properties of the cross-entropy method for discrete optimization
Authors:Andre Costa  Owen Dafydd Jones
Affiliation:a Centre of Excellence for Mathematics and Statistics of Complex Systems, University of Melbourne, 3010, Australia
b Department of Mathematics and Statistics, University of Melbourne, 3010, Australia
c Department of Mathematics, University of Queensland, 4072, Australia
Abstract:We present new theoretical convergence results on the cross-entropy (CE) method for discrete optimization. We show that a popular implementation of the method converges, and finds an optimal solution with probability arbitrarily close to 1. We also give conditions under which an optimal solution is generated eventually with probability 1.
Keywords:Cross-entropy method   Discrete optimization   Stochastic search
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