On the convergence of genetic algorithms -- a variational approach

DOI10.1007/s00440-003-0330-yzbMath1103.35025OpenAlexW2020734926MaRDI QIDQ1885327

Wilhelm Stannat

Publication date: 28 October 2004

Published in: Probability Theory and Related Fields (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00440-003-0330-y

zbMATH Keywords

exponential stabilitystationary statelinear self-adjoint operatormutations of pure jump typemutations of ultracontractive type

Mathematics Subject Classification ID

Problems related to evolution (92D15) Continuous-time Markov processes on general state spaces (60J25) Variational methods applied to PDEs (35A15) Genetics and epigenetics (92D10) Variational methods for second-order elliptic equations (35J20)

Related Items (3)

Mutation, selection, and ancestry in branching models: a variational approach ⋮ Quantitative approximations of evolving probability measures and sequential Markov chain Monte Carlo methods ⋮ Dynamiques recuites de type Feynman-Kac : résultats précis et conjectures

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