Results 181 to 190 of about 6,802,034 (240)

A fast and elitist multiobjective genetic algorithm: NSGA-II

IEEE Transactions on Evolutionary Computation, 2002
Multi-objective evolutionary algorithms (MOEAs) that use non-dominated sorting and sharing have been criticized mainly for: (1) their O(MN/sup 3/) computational complexity (where M is the number of objectives and N is the population size); (2) their non ...
K. Deb, S. Agrawal, Amrit Pratap, T. Meyarivan   +3 more
semanticscholar   +1 more source

Genetic selection of boars

Theriogenology, 2008
Selection of boars by visual appraisal is the simplest and oldest method used by the swine industry. However, individual performance testing, and later use of computers to incorporate relatives' data and account for environmental variation, resulted in greater rate of improvement for economically important traits.
openaire   +3 more sources

Genetics and the understanding of selection [PDF]

Nature Reviews Genetics, 2009
At first sight selection is a simple notion, and some consider it the most important evolutionary force. But how important is selection, is it really so trivial to understand and what are the alternatives? Here I discuss how genetics is crucial for addressing all of these questions: genetics allowed the concept of natural selection to become viable, it
openaire   +1 more source

The Population Genetics of Selection

2018
This chapter examines models of one- and two-locus selection in the absence of drift and mutation. Expressions for the per-generation rate of allele-frequency change and the expected time for a specified amount of change are developed for single-locus models, and their equilibrium structure is examined for those settings where selection retains more ...
Bruce Walsh, Michael Lynch
openaire   +1 more source

GENETIC SELECTION AND THE STATUS OF THE EMBRYO

Bioethics, 1993
In this paper I want to try to clarify the nature of the two different problems indicated in the title: there is a lively debate on whether or not genetic selection is a morally licit practice, and there are strong disagreements on whether or not the embryo is a person.
openaire   +4 more sources

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.
openaire   +3 more sources

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
George E. Shook, Kent A. Weigel
openaire   +3 more sources

Natural Selection, Genetic Variation, and Human Diversity

Human Population Genomics, 2021
L. Emery, J. Akey
semanticscholar   +1 more source

SELECTION-GENETIC PARAMETERS OF DEGERESIAN TAILS BREEDS SHEEP

Bulletin of Osh State University, 2021
Y. Baimazhi, R. Kadyken
semanticscholar   +1 more source

A genetic algorithm with disruptive selection

IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 1996
Genetic algorithms are a class of adaptive search techniques based on the principles of population genetics. The metaphor underlying genetic algorithms is that of natural evolution. Applying the "survival-of-the-fittest" principle, traditional genetic algorithms allocate more trials to above-average schemata.
Ting Kuo, Shu-Yuen Hwang
openaire   +3 more sources