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Drift analysis

Published: 07 July 2012 Publication History
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References

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Benjamin Doerr and Leslie Ann Goldberg. Drift analysis with tail bounds. In Proceedings of the 11th international conference on Parallel problem solving from nature: Part I, PPSN'10, pages 174--183, Berlin, Heidelberg, 2010. Springer-Verlag.
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Benjamin Doerr, Daniel Johannsen, and Carola Winzen. Multiplicative drift analysis. In GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 1449--1456, New York, NY, USA, 2010. ACM.
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Stefan Droste, Thomas Jansen, and Ingo Wegener. On the analysis of the (1
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Oliver Giel and Ingo Wegener. Evolutionary algorithms and the maximum matching problem. In Proceedings of the 20th Annual Symposium on Theoretical Aspects of Computer Science (STACS 2003), pages 415--426, 2003.
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Bruce Hajek. Hitting-time and occupation-time bounds implied by drift analysis with applications. Advances in Applied Probability, 14(3):502--525, 1982.
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Jens Jagersküpper. Algorithmic analysis of a basic evolutionary algorithm for continuous optimization. Theoretical Computer Science, 379(3):329--347, 2007.
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Pietro Oliveto and Carsten Witt. Simplified drift analysis for proving lower bounds in evolutionary computation. Algorithmica, pages 1--18, 2010. 10.1007/s00453-010--9387-z.
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Pietro S. Oliveto and Carsten Witt. Simplified drift analysis for proving lower bounds in evolutionary computation. Technical Report Reihe CI, No. CI-247/08, SFB 531, Technische Universitat Dortmund, Germany, 2008.
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Cited By

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  • (2019)Sharp bounds on the runtime of the (1+1) EA via drift analysis and analytic combinatorial toolsProceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms10.1145/3299904.3340302(1-12)Online publication date: 27-Aug-2019
  • (2018)Drift theory in continuous search spacesProceedings of the Genetic and Evolutionary Computation Conference10.1145/3205455.3205606(801-808)Online publication date: 2-Jul-2018
  • (2016)Runtime Analysis of Non-elitist PopulationsAlgorithmica10.1007/s00453-015-0103-x75:3(428-461)Online publication date: 1-Jul-2016
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Published In

cover image ACM Conferences
GECCO '12: Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
July 2012
1586 pages
ISBN:9781450311786
DOI:10.1145/2330784

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2012

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Author Tags

  1. drift analysis
  2. evolutionary algorithms
  3. stochastic processes

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GECCO '12
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GECCO '12: Genetic and Evolutionary Computation Conference
July 7 - 11, 2012
Pennsylvania, Philadelphia, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Cited By

View all
  • (2019)Sharp bounds on the runtime of the (1+1) EA via drift analysis and analytic combinatorial toolsProceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms10.1145/3299904.3340302(1-12)Online publication date: 27-Aug-2019
  • (2018)Drift theory in continuous search spacesProceedings of the Genetic and Evolutionary Computation Conference10.1145/3205455.3205606(801-808)Online publication date: 2-Jul-2018
  • (2016)Runtime Analysis of Non-elitist PopulationsAlgorithmica10.1007/s00453-015-0103-x75:3(428-461)Online publication date: 1-Jul-2016
  • (2014)Evolution under partial informationProceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation10.1145/2576768.2598375(1359-1366)Online publication date: 12-Jul-2014
  • (2014)Concentrated Hitting Times of Randomized Search Heuristics with Variable DriftAlgorithms and Computation10.1007/978-3-319-13075-0_54(686-697)Online publication date: 8-Nov-2014
  • (2013)A method to derive fixed budget results from expected optimisation timesProceedings of the 15th annual conference on Genetic and evolutionary computation10.1145/2463372.2463565(1581-1588)Online publication date: 6-Jul-2013

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