Genealogies and increasing propagation of chaos for Feynman-Kac and genetic models
成果类型:
Article
署名作者:
Del Moral, P; Miclo, L
署名单位:
Centre National de la Recherche Scientifique (CNRS); Universite de Toulouse; Universite Toulouse III - Paul Sabatier
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
发表日期:
2001
页码:
1166-1198
关键词:
interacting particle-systems
CONVERGENCE
摘要:
A path-valued interacting particle systems model for the genealogical structure of genetic algorithms is presented, We connect the historical process and the distribution of the whole ancestral tree with a class of Feynman-Kac formulae on path space. We also prove increasing and uniform versions of propagation of chaos for appropriate particle block size and time horizon yielding what seems to be the first result of this type for this class of particle systems.