The cross-entropy method for continuous multi-extremal optimization
Contribuinte(s) |
Joseph Glaz |
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Data(s) |
01/01/2006
|
Resumo |
In recent years, the cross-entropy method has been successfully applied to a wide range of discrete optimization tasks. In this paper we consider the cross-entropy method in the context of continuous optimization. We demonstrate the effectiveness of the cross-entropy method for solving difficult continuous multi-extremal optimization problems, including those with non-linear constraints. |
Identificador |
http://espace.library.uq.edu.au/view/UQ:81518/UQ81518_post_script.pdf |
Idioma(s) |
eng |
Publicador |
Springer New York LLC |
Palavras-Chave | #Cross-entropy #Continuous Optimization #Multi-extremal Objective Function #Dynamic Smoothing #Constrained Optimization #Nonlinear Constraints #Acceptance-rejection #Penalty Function #Statistics & Probability #230202 Stochastic Analysis and Modelling #230204 Applied Statistics #230118 Optimisation #780101 Mathematical sciences |
Tipo |
Journal Article |