A new selection ratio for large population sizes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6024 LNCS, Issue PART 1, 2010, Pages 452-460

  Teytaud, Fabien ^a  

^a Laboratoire Interdisciplinaire des Sciences du Numérique   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

EVOLUTION PROCESS; LARGE POPULATION; PARALLEL OPTIMIZATION; POPULATION SIZES; SELF ADAPTATION; SIMPLE MODIFICATIONS; SPEED UP; THEORETICAL BOUNDS;

POPULATION STATISTICS;

EID: 77952394796     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12239-2_47     Document Type: Conference Paper

References (7)

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3. Hansen, N., Ostermeier, A.: Completely derandomized self-adaptation in evolution strategies. Evolutionary Computation 9(2), 159-195 (2001)
4. Rechenberg, I.: Evolutionstrategie: Optimierung Technischer Systeme nach Prinzipien des Biologischen Evolution. Fromman-Holzboog Verlag, Stuttgart (1973)
5. Schwefel, H.P.: AdaptiveMechanismen in der biologischen Evolution und ihr Einfluss auf die Evolutionsgeschwindigkeit. Interner Bericht der Arbeitsgruppe Bionik und Evolutionstechnik am Institut für Mess- und Regelungstechnik Re 215/3, Technische Universität Berlin (Juli 1974)
6. Teytaud, F., Teytaud, O.: On the parallel speed-up of Estimation of Multivariate Normal Algorithm and Evolution Strategies. In: Giacobini, M., et al. (eds.) EvoWorkshops 2009. LNCS, vol.5484, pp. 655-664. Springer, Heidelberg (2009)
7. Teytaud, O., Fournier, H.: Lower bounds for evolution strategies using VC-dimension. In: Rudolph, G., Jansen, T., Lucas, S., Poloni, C., Beume, N. (eds.) PPSN 2008. LNCS, vol.5199, pp. 102-111. Springer, Heidelberg (2008)