A HYBRID MULTI-OBJECTIVE BAYESIAN ESTIMATION OF DISTRIBUTION ALGORITHM THESIS
Texto
Imagem
Documentos relacionados
This paper develops a hybrid fuzzy logic based genetic algorithm model to solve the multi-objective passenger railway scheduling problem aiming to optimize
With this in mind, its general objective was to assess the potential gains and limitations of day-to-day dynamic Bayesian statistical models for the estimation of the OD matrix based
In a previous work [7] we have proposed an algorithm for source separation based on probability density function (pdf) estimation, called fitting pdf (FP) algorithm, that uses
In this work, our main objective is to develop different estimation procedures for the unknown parameters of the generalized gamma distribution and related models (Nakagami-m
1 - Unidade de Hematologia-oncologia Pediátrica, Hospital Pediátrico Integrado, Centro Hospitalar de São João; 2 - Serviço de Imunoalergologia, Centro Hospi- talar de São João; 3
The main contributions of this work can be summarized into three main points: the demonstra- tion that it is possible to execute, in a very efficient fashion, the PBIL algorithm using
This paper takes into account the estimation for the unknown parameters of the Gompertz distribution from the frequentist and Bayesian view points by using both objective and
Deste modo, elas e eles têm direito à mesma educação ou seja, o género e a diversidade sexual não são relevantes aquando da selecção e organização das tarefas escolares