Monte Carlo Analyses of Genetic Models

  title={Monte Carlo Analyses of Genetic Models},
  author={Alex Fraser},
  • 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… 

Simulation of genetic systems. XI. Inversion polymorphism.

Ju l 2 01 8 Markovian simulation for ancestors trees

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. FogelA. 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

Markovian simulation for ancestors trees

In memoriam Alex S. Fraser [1923-2002]

  • D. Fogel
  • Medicine
    IEEE Trans. Evol. Comput.
  • 2002
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.

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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.


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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Digital computer studies of cell multiplication by Monte Carlo methods.