Monte Carlo Analyses of Genetic Models

@article{Fraser1958MonteCA,
  title={Monte Carlo Analyses of Genetic Models},
  author={Alex Fraser},
  journal={Nature},
  year={1958},
  volume={181},
  pages={208-209}
}
  • A. Fraser
  • Published 18 January 1958
  • Biology
  • Nature
AUTOMATIC digital electronic computers, such as the SILLIAC, have several features which are of use in simulation of genetic systems. These are the ability to form sets of pseudo-random numbers1, the ability to perform the operations of logical summation, equivalence, etc., and particularly the ability to perform a sequence of operations repeatedly at high speeds. A programme2 has been written for the SILLIAC which simulates the action of selection on a population segregating for six loci. The… 
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29 Citations
Background Citations
13
Methods Citations
3

29 Citations

Simulation of genetic systems. XI. Inversion polymorphism.
Ju l 2 01 8 Markovian simulation for ancestors trees
TLDR
A computational model to reconstruct trees of ancestors for animals with sexual reproduction is presented, which allows to consider the reproductive preferences of particular species and combine several trees to simulate the behavior of a population.
Running races with Fraser's recombination
  • D. Fogel, A. S. Fraser
  • Mathematics
    Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)
  • 2000
Several recombination operators have been proposed in evolutionary computation. Standard procedures include one-point, two-point and uniform crossover. Little attention, however, has been given to a…
THE USE OF SIMULATIONS IN EVOLUTIONARY POPULATION GENETICS: APPLICATIONS ON HUMANS, OWLS AND VIRTUAL ORGANISMS
TLDR
It is shown that selection is, indeed, effective during range expansions and that it leaves a distinguished signature, which can then be used to detect and measure natural selection in range-expanding populations.
Markovian simulation for ancestors trees
In memoriam Alex S. Fraser [1923-2002]
  • D. Fogel
  • Medicine
    IEEE Trans. Evol. Comput.
  • 2002
TLDR
Alex S. Fraser was one of the first to conceive and execute computer simulations of genetic systems, and his efforts in the 1950s and 1960s had a profound impact on computational models of evolutionary systems.
Stuart Barker’s Contributions to Population Genetics and Animal Breeding: Exploring Fitness, Evolution and Animal Genetics
TLDR
Stuart Barker was introduced to a powerful natural model (the cactus-yeast-Drosophila system) that has proven to be a particularly rich source of both field and laboratory experiments, aimed primarily at identifying the selective forces that maintain genetic polymorphisms in natural populations.
Evolutionary Processes as Models for Exploratory Design
TLDR
In architecture, evolutionary processes are more relevant as exploratory processes than as optimization tools, because of the constraints inherent in typology-based design methodologies.
Impact of ALife Simulation of Darwinian and Lamarckian Evolutionary Theories
TLDR
Based on the two models of Darwinian and Lamarckian evolutionary theories built using neural networks and genetic algorithms, this research presents a notion of the potential impact of implementation of Lamarck's knowledge inheritance across disciplines, including biology, computer science and philosophy.
REVISITING OVERLOOKED FOUNDATIONS OF EVOLUTIONARY COMPUTATION: PART II
TLDR
This two-part article offers a review of selected foundational efforts in evolutionary computation, with a focus on those that have not received commensurate attention.
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References

Digital computer studies of cell multiplication by Monte Carlo methods.