BibTeX Export for Evaluating Stationary Distribution of the Binary GA Markov Chain in Special Cases

Copy to Clipboard Download

@InProceedings{mitavskiy_et_al:DagSemProc.08051.4,
  author =	{Mitavskiy, Boris S. and Cannings, Chris},
  title =	{{Evaluating Stationary Distribution of the Binary GA Markov Chain in Special Cases}},
  booktitle =	{Theory of Evolutionary Algorithms},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8051},
  editor =	{Dirk V. Arnold and Anne Auger and Jonathan E. Rowe and Carsten Witt},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08051.4},
  URN =		{urn:nbn:de:0030-drops-14845},
  doi =		{10.4230/DagSemProc.08051.4},
  annote =	{Keywords: Genetic algorithms, Markov chains, stationary distribution, lumping quotient}
}

The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.

Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode