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 ![]() | |
Tantar, Emilia ![]() | |
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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