Multi-Population Bayesian Optimization Algorithm using Cooperated Pattern Search Strategy

Author

Qiang Lei ; Xiao Tian-yuan ; Song Shi-ji

Author_Institution

Autom. Dept., Tsinghua Univ., Beijing, China

fYear

2006

fDate

7-11 Aug. 2006

Firstpage

1454

Lastpage

1459

Abstract

This paper proposed a multi-population based Bayesian optimization algorithm (BOA). It combines the Bayesian statistic optimization technique with multi-population scheme. And the cooperated pattern search mechanism is provided, which is used to avoid premature convergence problem. It includes the pattern selection, model structure update and model parameter update processes. And a constraint planning model is used to balance the parameter update process. The results of examination test show the new algorithm´s efficiency.

Keywords

Bayes methods; optimisation; pattern classification; Bayesian network; Bayesian statistic optimization technique; constraint planning model; cooperated pattern search strategy; model statistic optimization; model structure update; multipopulation Bayesian optimization algorithm; parameter update process; pattern selection; premature convergence problem; Argon; Automation; Bayesian methods; Convergence; Electronic mail; IEEE catalog; Process planning; Statistics; Testing; Bayesian Network; Model Statistic Optimization; Multi-population Optimization; Scheduling;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2006. CCC 2006. Chinese

Conference_Location

Harbin

Print_ISBN

7-81077-802-1

Type

conf

DOI

10.1109/CHICC.2006.280714

Filename

4060328