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  2. Price equation - Wikipedia

    en.wikipedia.org/wiki/Price_equation

    In the theory of evolution and natural selection, the Price equation (also known as Price's equation or Price's theorem) describes how a trait or allele changes in frequency over time. The equation uses a covariance between a trait and fitness, to give a mathematical description of evolution and natural selection. It provides a way to ...

  3. Genetic variance - Wikipedia

    en.wikipedia.org/wiki/Genetic_variance

    Ronald Fisher in 1913. Genetic variance is a concept outlined by the English biologist and statistician Ronald Fisher in his fundamental theorem of natural selection.In his 1930 book The Genetical Theory of Natural Selection, Fisher postulates that the rate of change of biological fitness can be calculated by the genetic variance of the fitness itself. [1]

  4. Selection (evolutionary algorithm) - Wikipedia

    en.wikipedia.org/wiki/Selection_(evolutionary...

    Selection has a dual purpose: on the one hand, it can choose individual genomes from a population for subsequent breeding (e.g., using the crossover operator). In addition, selection mechanisms are also used to choose candidate solutions (individuals) for the next generation. The biological model is natural selection.

  5. Fitness (biology) - Wikipedia

    en.wikipedia.org/wiki/Fitness_(biology)

    The absolute fitness of a genotype is defined as the proportional change in the abundance of that genotype over one generation attributable to selection. For example, if n ( t ) {\displaystyle n(t)} is the abundance of a genotype in generation t {\displaystyle t} in an infinitely large population (so that there is no genetic drift ), and ...

  6. Evolutionary game theory - Wikipedia

    en.wikipedia.org/wiki/Evolutionary_game_theory

    The highest fitness payoff for the kin group is selected by natural selection. Therefore, strategies that include self-sacrifice on the part of individuals are often game winners – the evolutionarily stable strategy. Animals must live in kin-groups during part of the game for the opportunity for this altruistic sacrifice ever to take place.

  7. Fitness function - Wikipedia

    en.wikipedia.org/wiki/Fitness_function

    A fitness function is a particular type of objective or cost function that is used to summarize, as a single figure of merit, how close a given candidate solution is to achieving the set aims. It is an important component of evolutionary algorithms (EA) , such as genetic programming , evolution strategies or genetic algorithms .

  8. Knowing Your BMR Is Key To Achieving Fitness Goals. Here's ...

    www.aol.com/knowing-number-much-more-useful...

    Calculate your BMR: 655 + (9.6 x weight in kg) + (1.8 x height in cm) - (4.7 x age in years) It’s also important to note that men typically have a higher BMR than women.

  9. Selection coefficient - Wikipedia

    en.wikipedia.org/wiki/Selection_coefficient

    The fitness of a genotype is a measure of its reproductive success, often expressed as a fraction of the maximum reproductive success in the population. The formula to calculate the selection coefficient s {\displaystyle s} for a genotype is: s = 1 − W {\displaystyle s=1-W} , where W {\displaystyle W} is the relative fitness of the genotype ...