Genetic Algorithm and Monte Carlo Simulation

Genetic Algorithm and Monte Carlo Simulation

Gerhart I. Schueller (ORCID: )

Wissenschaftsdisziplinen

Maschinenbau (40%); Mathematik (60%)

Keywords

    Genetic Algorithms Monte Carlo Simulation Dynamical Systems Advanced Mte.Carlo Simulation Reliability, Advanced Mte.Carlo S, Dynamical Systems, Genetic Algorithms, Monte Carlo Simulati, Reliability

Forschungsstätte(n)
Nationale Projektbeteiligte
  • H. J. Pradlwarter, assoziierte:r Forschungspartner:in

Research Output

  • 289 Zitationen
  • 5 Publikationen
Publikationen
  • 2003
    Titel A computational procedure to estimate the stochastic dynamic response of large non-linear FE-models
    DOI 10.1016/s0045-7825(02)00595-9
    Typ Journal Article
    Autor Pradlwarter H
    Journal Computer Methods in Applied Mechanics and Engineering
    Seiten 777-801
  • 2002
    Titel Deterministic integration algorithms for stochastic response computations of FE-systems
    DOI 10.1016/s0045-7949(02)00102-5
    Typ Journal Article
    Autor Pradlwarter H
    Journal Computers & Structures
    Seiten 1489-1502
  • 2001
    Titel Computational stochastic mechanics – recent advances
    DOI 10.1016/s0045-7949(01)00078-5
    Typ Journal Article
    Autor Schuëller G
    Journal Computers & Structures
    Seiten 2225-2234
  • 2001
    Titel Non-linear stochastic response distributions by local statistical linearization
    DOI 10.1016/s0020-7462(00)00085-8
    Typ Journal Article
    Autor Pradlwarter H
    Journal International Journal of Non-Linear Mechanics
    Seiten 1135-1151
  • 1999
    Titel Assessment of low probability events of dynamical systems by controlled Monte Carlo simulation
    DOI 10.1016/s0266-8920(98)00009-5
    Typ Journal Article
    Autor Pradlwarter H
    Journal Probabilistic Engineering Mechanics
    Seiten 213-227