BibTeX Export for Theory of Randomized Optimization Heuristics (Dagstuhl Reports 19431)

Copy to Clipboard Download

@Article{doerr_et_al:DagRep.9.10.61,
  author =	{Doerr, Carola and Fonseca, Carlos M. and Friedrich, Tobias and Yao, Xin},
  title =	{{Theory of Randomized Optimization Heuristics (Dagstuhl Reports 19431)}},
  pages =	{61--94},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2020},
  volume =	{9},
  number =	{10},
  editor =	{Doerr, Carola and Fonseca, Carlos M. and Friedrich, Tobias and Yao, Xin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.9.10.61},
  URN =		{urn:nbn:de:0030-drops-118567},
  doi =		{10.4230/DagRep.9.10.61},
  annote =	{Keywords: algorithms and complexity, evolutionary algorithms, machine learning, optimization, soft computing}
}

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