Results 301 to 310 of about 1,273,508 (343)
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Annals of Human Genetics, 1977
Various definitions of 'genetic distance' and 'frequency distance' are considered, together with the purposes for which they are used. There are at least seven simple definitions of 'genetic distance' which agree closely with each other and with a Mahalonobis-type D2 for qualitative characters, whereas other proposed definitions are mostly based on ...
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Various definitions of 'genetic distance' and 'frequency distance' are considered, together with the purposes for which they are used. There are at least seven simple definitions of 'genetic distance' which agree closely with each other and with a Mahalonobis-type D2 for qualitative characters, whereas other proposed definitions are mostly based on ...
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On Genetic Information, Diversity and Distance
Methods of Information in Medicine, 2006Summary Objectives: General information-theoretic concepts such as f-divergence, f-information and f-entropy are applied to the genetic models where genes are characterized by randomly distributed alleles. The paper thus presents an information-theoretic background for measuring genetic distances between populations ...
J, Zvárová, I, Vajda
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A new definition of genetic distance
Human Genetics, 1991A stochastic measure of genetic distance between populations is proposed; unlike currently used measures, it is invariant with respect to union and subdivision of loci. This measure enables a unified quantitative approach to genetic diversity within populations and genetic distance between populations.
N, Kazarinova-Fukshansky, K, Hummel
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Distance Measures in Genetic Algorithms
2004Metric is one of the fundamental tools for understanding space. It gives induced topology to the space and it is the most basic way to provide the space with topology. Di.erent metrics make di.erent topologies. The shape of the space largely depends on its metric. In understanding genetic algorithms, metric is also basic and important.
Yong-Hyuk Kim, Byung Ro Moon
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The Statistical Properties of Genetic Absolute Distance
Biometrical Journal, 1986AbstractThe statistical properties of one estimator of absolute genetic distance (1/2) K∑i=1 |pxi‐yr|, tween two populations X and Y, are presented. It is shown that using this distance in small samples can be misleading particularly when populations are close to each other.
Katz, M., Goux, J.-M.
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Universal information distance for genetic programming
Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014This paper presents a genotype-level distance metric for Genetic Programming (GP) based on the symmetric difference concept: first, the information contained in individuals is expressed as a set of symbols (the content of each node, its position inside the tree, and recurring parent-child structures); then, the difference between two individuals is ...
GAUDESI, MARCO +2 more
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Operator-Based Distance for Genetic Programming: Subtree Crossover Distance
2005This paper explores distance measures based on genetic operators for genetic programming using tree structures. The consistency between genetic operators and distance measures is a crucial point for analytical measures of problem difficulty, such as fitness distance correlation, and for measures of population diversity, such as entropy or variance. The
Steven M. Gustafson, Leonardo Vanneschi
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Behavior Genetics, 2011
Five possible mechanisms might underlie kin recognition in social groups: spatial location, familiarity through prior association, phenotype matching, recognition alleles, or rejecting unfamiliar cues. Kin recognition by phenotype matching relies on a strong correlation between genotype and phenotype.
Stephen J, Martin +3 more
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Five possible mechanisms might underlie kin recognition in social groups: spatial location, familiarity through prior association, phenotype matching, recognition alleles, or rejecting unfamiliar cues. Kin recognition by phenotype matching relies on a strong correlation between genotype and phenotype.
Stephen J, Martin +3 more
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An efficient distance metric for linear genetic programming
Proceedings of the 15th annual conference on Genetic and evolutionary computation, 2013Defining a distance measure over the individuals in the population of an Evolutionary Algorithm can be exploited for several applications, ranging from diversity preservation to balancing exploration and exploitation. When individuals are encoded as strings of bits or sets of real values, computing the distance between any two can be a straightforward ...
GAUDESI, MARCO +2 more
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