Reference : On the Foundations and the Applications of Evolutionary Computing
Scientific congresses, symposiums and conference proceedings : Paper published in a journal
Physical, chemical, mathematical & earth Sciences : Mathematics
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/10516
On the Foundations and the Applications of Evolutionary Computing
English
Del Moral, Pierre [Univ Bordeaux 1, Inst Math Bordeaux, Ctr INRIA Bordeaux Sud Ouest, F-33405 Talence, France.]
Tantar, Alexandru-Adrian mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Tantar, Emilia mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2013
Studies in Computational Intelligence
Springer-Verlag Berlin
447
EVOLVE - A BRIDGE BETWEEN PROBABILITY, SET ORIENTED NUMERICS AND EVOLUTIONARY COMPUTATION
3-89
Yes
International
1860-949X
Berlin
EVOLVE 2011 International Workshop
MAY 25-27, 2011
University of Luxembourg, CINVESTAV, INRIA
Bourglinster
LUXEMBOURG
[en] Genetic type particle methods are increasingly used to sample from complex high-dimensional distributions. They have found a wide range of applications in applied probability, Bayesian statistics, information theory, and engineering sciences. Understanding rigorously these new Monte Carlo simulation tools leads to fascinating mathematics related to Feynman-Kac path integral theory and their interacting particle interpretations. In this chapter, we provide an introduction to the stochastic modeling and the theoretical analysis of these particle algorithms. We also illustrate these methods through several applications.
http://hdl.handle.net/10993/10516
978-3-642-32725-4
Tantar, E Tantar, AA Bouvry, P DelMoral, P Legrand, P Coello, CAC Schutze, O

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