The cross-entropy method for continuous multi-extremal optimization


Autoria(s): Kroese, Dirk P.; Porotsky, Sergey; Rubinstein, Reuven Y.
Contribuinte(s)

Joseph Glaz

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

http://espace.library.uq.edu.au/view/UQ:81518

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