Crow, J. F. (1986). Basic Concepts in Population, Quantitative and Evolutionary Genetics. Freeman, New York. Home/Search Document Not in Database Summary Related Articles Check |
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Selection in Massively Parallel Genetic Algorithms - Collins, Jefferson (1991) (76 citations) (Correct)
....report speed in terms of the median run (of all runs, including those that do not find optimal partitions) 4 Selection Schemes 4. 1 Local Selection One of the basic assumptions of Wright s shifting balance theory of evolution is that spatial structure exists in large populations (Wright 1969; Crow 1986). The structure is in the form of demes, or semi isolated subpopulations, with relatively thorough gene mixing within a deme, but restricted gene flow between demes. One way that demes can form in a continuous population and environment is isolation by distance: the probability that a given ....
Crow, James F. (1986). Basic Concepts in Population, Quantitative, and Evolutionary Genetics. W. H. Freeman and Company, New York.
Predictive Models for the Breeder Genetic.. - Heinz Mühlenbein, .. (1993) (1 citation) (Correct)
....current population is the result of selection and recombination in the previous generations. Therefore recombination cannot be analyzed in isolation. Quantitative genetics has developed a framework of how to investigate the above problem. In this section we will use results from (Falconer, 1981) (Crow, 1986) and (Bulmer, 1980) A mathematically oriented book on quantitative genetics is (Crow Kimura, 1970) The change produced by selection that mainly interests the breeder is the response to selection, which is symbolized by R. R is defined as the difference between the population mean fitness of ....
....threshold T , the T best individuals will be selected as parents. T is normally chosen in the range 50 to 10 . The prediction of the response to selection starts with R(t 1) b t Delta S(t) 28) The breeder either measures b t in previous generations or estimates b t by different methods (Crow, 1986). It is normally assumed that b t is constant for a certain number of generations. This leads to R(t 1) b Delta S(t) 29) There is no genetics involved in this equation. It is simply an extrapolation from direct observation. The prediction of just one generation is only half the story. The ....
Crow, J. F. (1986). Basic Concepts in Population, Quantitative and Evolutionary Genetics. Freeman, New York.
AntFarm: Towards Simulated Evolution - Robert J. Collins, David R.. (1991) (39 citations) (Correct)
....scheme is simple and widely used in genetic algorithms, it is a poor model of real evolution. One of the basic assumptions of Wright s shifting balance theory of evolution is that spatial structure exists in large populations (Wright 1931; Wright 1968; Wright 1969; Wright 1977; Wright 1978; Crow 1986). The structure is in the form of demes (Gilmour and Gregor 1939) or semi isolated subpopulations, with thorough gene mixing within a deme, but restricted gene flow between demes. One way that demes can form in a continuous population and environment is isolation by distance: the probability ....
Crow, James F. (1986). Basic Concepts in Population, Quantitative, and Evolutionary Genetics. W. H. Freeman and Company, New York.
Predictive Models for the Breeder Genetic Algorithm - .. - Mühlenbein.. (1993) (1 citation) (Correct)
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Crow, J. F. (1986). Basic Concepts in Population, Quantitative and Evolutionary Genetics. Freeman, New York.
Genetic Algorithms - Mühlenbein (1997) (Correct)
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J. F. Crow (1986). Basic Concepts in Population, Quantitative and Evolutionary Genetics. Freeman, New York.
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