An invariance principle for a genetic algorithm with finite population;Un principe d'invariance pour un algorithme génétique en population finie

Comptes Rendus de l'Academie des Sciences - Series I: Mathematics

Volumn 331, Issue 6, 2000, Pages 469-474

  Bérard, Jean ^a   Bienvenüe, Alexis ^a  

^a UNIVERSITÉ LYON 1   (France)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0034664368     PISSN: 07644442     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0764-4442(00)01626-8     Document Type: Article

References (6)

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2. Bonnaz D., Modèles Stochastiques de Dynamique des Populations, Thèse de doctorat, Université de Lausanne, 1998.
3. Goldberg D.E., Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA, 1989.
4. Holland J.H., Adaptation in natural and artificial systems, University of Michigan Press, Ann Arbor, Mich., 1975, pp. ix+183. An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence.
5. Mazza C., Piau D., On the Effect of Selection in Genetic Algorithms, (2000) (soumis).
6. Tsimring L.S., Levine H., Kessler D.A., RNA virus evolution via a fitness-space model, Phys. Rev. Lett. 76 (1996) 4440.