Truncation selection
Truncation selection is a selection method in selective breeding and in evolutionary algorithms from computer science, which selects a certain share of fittest individuals from a population for reproduction in the next generation.
Animal and plant breeding
[edit | edit source]In animal and plant breeding, truncation selection is a standard method. Animals are ranked by their phenotypic value on some trait such as milk production, and the top percentage is reproduced. The effects of truncation selection for a continuous trait can be modeled by the standard breeder's equation by using heritability and truncated normal distributions. On a binary trait, it can be modeled easily using the liability threshold model. It is considered an easy and efficient method of breeding.[1]
Computer science
[edit | edit source]In computer science, truncation selection is a selection method used in evolutionary algorithms to select potential candidate solutions for recombination modeled after the breeding method.[2] In truncation selection the candidate solutions are ordered by fitness, and some proportion T% of the top fittest individuals are selected and reproduced randomly. It is used in Muhlenbein's breeder genetic algorithm.[3]
References
[edit | edit source]- ^ Crow & Kimura 1979, "Efficiency of truncation selection"
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External links
[edit | edit source]- "Chapter 14: Short-term Changes in the Mean: 2. Truncation and Threshold Selection"
- Crow 2010, "On epistasis: why it is unimportant in polygenic directional selection"
- Visscher et al. 2008, "Heritability in the genomics era - concepts and misconceptions"
- Visscher 2016, "Human Complex Trait Genetics in the 21st Century"
- Weight & Harpending 2016, "Some Uses of Models of Quantitative Genetic Selection in Social Science"
- Frost & Harpending 2015, "Western Europe, state formation, and genetic pacification"
