Diverse forms of selection in evolution and computer science

Proceedings of the National Academy of Sciences of the United States of America

Volumn 111, Issue 29, 2014, Pages 10398-10399

  Barton, Nicholas H ^a   Novak, Sebastian ^a   Paixão, Tiago ^a  

^a INSTITUTE OF SCIENCE AND TECHNOLOGY AUSTRIA   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER; COVARIANCE; DIPLOIDY; ENTROPY; EUKARYOTE; EVOLUTION; EVOLUTIONARY ALGORITHM; GENE FREQUENCY; GENEALOGY; GENETIC DISTANCE; GENETIC VARIABILITY; GENOTYPE; HETEROZYGOTE ADVANTAGE; MULTIPLICATIVE WEIGHTS UPDATE ALGORITHM; NATURAL SELECTION; NONHUMAN; NOTE; PRIORITY JOURNAL; QUANTITATIVE TRAIT; REPRODUCTION; SURVIVAL;

ALGORITHMS; BIOLOGICAL EVOLUTION; GAME THEORY; HUMANS;

EID: 84904595929     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1410107111     Document Type: Note

References (19)

1. Chastain E, Livnat A, Papadimitriou C, Vazirani U (2014) Algorithms, games, and evolution. Proc Natl Acad Sci USA 111:10620-10623.
2. Wright S (1937) The distribution of gene frequencies in populations. Proc Natl Acad Sci USA 23(6):307-320.
3. Lande R (1976) Natural selection and random genetic drift in phenotypic evolution. Evolution 30(2):314-334.
4. Fisher RA (1930) The Genetical Theory of Natural Selection (Clarendon Press, Oxford, UK).
5. Robertson A (1966) A mathematical model of the culling process in dairy cattle. Anim Prod 8(1):95-108.
6. Price GR (1970) Selection and covariance. Nature 227(5257):520-521.
7. Leibler S, Kussell E (2010) Individual histories and selection in heterogeneous populations. Proc Natl Acad Sci USA 107(29):13183-13188.
8. Fisher RA (1922) On the dominance ratio. Proc R Soc Edinb 42(1921-1922):321-341.
9. Kimura M (1955) Stochastic processes and distribution of gene frequencies under natural selection. Cold Spring Harbor Symp Quant Biol 20(1955):33-55.
10. Rouhani S, Barton NH (1987) Speciation and the 'shifting balance' in a continuous population. Theor Pop Biol 31(3):465-92.
11. Mustonen V, Lassig M (2010) Fitness flux and ubiquity of adaptive evolution. Proc Natl Acad Sci USA 107(9):4248-4253.
12. Krone SM, Neuhauser C (1997) Ancestral processes with selection. Theor Popul Biol 51(3):210-237. (Pubitemid 27340855)
13. Kimura M (1984) The Neutral Theory of Molecular Evolution (Cambridge Univ Press, Cambridge, UK).
14. Christiansen FB (1999) Population Genetics of Multiple Loci (Wiley, Chichester, UK).
15. Barton NH, Charlesworth B (1998) Why sex and recombination? Science 281(5385):1986-1990. (Pubitemid 28475479)
16. Watson RA (2006) Compositional Evolution: The Impact of Sex, Symbiosis and Modularity on the Gradualist Framework of Evolution (MIT Press, Boston).
17. Valiant L (2013) Probably Approximately Correct: Nature's Algorithms for Learning and Prospering in a Complex World (Basic Books, New York).
18. Watkins C (2008) Selective breeding analysed as a communication channel: channel capacity as a fundamental limit on adaptive complexity. Symbolic and Numeric Algorithms for Scientific Computing (IEEE, New York), pp 514-518.
19. Lehre PK, Oliveto PS (2013) Runtime analysis of evolutionary algorithms: Basic introduction. Proceeding of the Fifteenth Annual Conference on Genetic and Evolutionary Computation, July 6-20, 2013, Amsterdam (Association for Computing Machinery, New York), pp 469-498.