Results 271 to 280 of about 1,164,710 (315)

Genetic Selection for Mastitis Resistance

Veterinary Clinics of North America: Food Animal Practice, 2018
Mastitis is a prevalent and costly disease on dairy farms. Improved management and hygiene can reduce the risk of infection by contagious or environmental pathogens, and genetic selection can confer permanent improvement in mastitis resistance. National veterinary recording systems in the Nordic countries have allowed direct selection for sire families
Kent A, Weigel, George E, Shook
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On the effect of selection in genetic algorithms

Random Structures and Algorithms, 2001
Summary: To study the effect of selection with respect to mutation and mating in genetic algorithms, we consider two simplified examples in the infinite population limit. Both algorithms are modeled as measure valued dynamical systems and are designed to maximize a linear fitness on the half line. Thus, they both trivially converge to infinity.
Christian Mazza, Didier Piau
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Sexual Selection for Genetic Algorithms

Artificial Intelligence Review, 2003
Genetic Algorithms (GA) have been widely used in operations research and optimization since first proposed. A typical GA comprises three stages, the encoding, the selection and the recombination stages. In this work, we focus our attention on the selection stage of GA, and review a few commonly employed selection schemes and their associated scaling ...
Kai Song Goh, Andrew Lim 0001, Brian Rodrigues   +2 more
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Genetic interactions drive selection

Science, 2017
Evolutionary Genetics Most individuals carry at least some potentially deleterious variants in their genome. But the effects of these mutations on individuals are not well understood. Sohail et al. examined loss-of-function (LOF) mutations in the genomes of humans and flies.
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The driven genetic selection mechanism

SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions' (Cat. No.00CH37166), 2002
This paper defines a new distance measurement for binary strings called the extended Hamming distance. Using this measurement we prove that the binary decoding method in the simple genetic algorithm satisfies the demand of certain continuity. Based on this continuity, we propose a new selection mechanism called the driven selection mechanism.
Yongchuan Tang, Tianmin Huang
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Genetic engineering: Unnatural selection

Nature, 2003
Evolving techniques for redesigning organisms have enormous potential but they must be matched with equally sophisticated methods for evaluating their benefits and risks.
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Population genetics and natural selection

Genetica, 1957
Genotypic differences are the raw material on which selection acts but not all kinds of genotypic differences are of equal importance in this connection. FISHER (1930) showed that whether or not mating occurs at random, the population genotypic variance for any quantitative character may be analyzed into a number of components and that one of these ...
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Genetic Selection and Equilibrium Stability

Acta geneticae medicae et gemellologiae, 1977
The problem of the equilibrium stability of a phenotypic selection process, with a single pair of autosomal alleles, has been numerically studied, on the basis of previously established reproduction differential equations.
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Genetic selection for extensive conditions

Applied Animal Behaviour Science, 1996
Abstract Humans have selected animals which are more suited for food production or other purposes, since the process of domestication of livestock began, whether this selection was done knowingly or unknowingly. The deliberate selection of improved breeds and strains has been a particularly important feature of agriculture in the last couple of ...
Simm, G, Conington, JE, Bishop, SC, Dwyer, CM, Pattinson, SE   +4 more
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Genetic Algorithm Guided Selection:  Variable Selection and Subset Selection

Journal of Chemical Information and Computer Sciences, 2002
A novel Genetic Algorithm guided Selection method, GAS, has been described. The method utilizes a simple encoding scheme which can represent both compounds and variables used to construct a QSAR/QSPR model. A genetic algorithm is then utilized to simultaneously optimize the encoded variables that include both descriptors and compound subsets.
Sung Jin Cho, Mark A. Hermsmeier
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