Results 261 to 270 of about 492,575 (295)
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Curve Fitting Using Genetic Algorithms

1991
Abstract : Genetic algorithms are search techniques based on the mechanics of natural selection. They have been used successfully in many applications because of their robustness and because of their ability to search in a noisy problem space. In particular, genetic algorithms are used in curve-fitting. The genetic algorithm selects the coefficients of
M. Lybanon, K. Messa
openaire   +1 more source

Fitting genetic models with LISREL: Hypothesis testing

Behavior Genetics, 1989
A brief introduction to the mathematical theory involved in model fitting is provided. The properties of maximum-likelihood estimates are described, and their advantages in fitting structural models are given. Identification of models is considered. Standard errors of parameter estimates are compared with the use of likelihood-ratio (L-R) statistics ...
M C, Neale   +4 more
openaire   +2 more sources

Genetic improvement of production while maintaining fitness

Theoretical and Applied Genetics, 1995
Selection for production tends to decrease fitness, in particular, major components such as reproductive performance. Under an infinitesimal genetic model restricted index selection can maintain reproductive performance while improving production. However, reproductive traits are thought to be controlled by a finite number of recessive alleles at low ...
Meuwissen, T.H.E.   +2 more
openaire   +3 more sources

Maintaining Genetic Variation in Fitness

2009
Although natural selection is expected to remove additive genetic variation in fitness, the recent evidence is that in natural populations considerable amounts of such variation remain in fitness and related traits, just as for other quantitative traits.
William G. Hill, Xu-Sheng Zhang
openaire   +1 more source

Shorter Fitness Preserving Genetic Programs

2000
In the paper a method that moderates code growth in genetic programming is presented. The addressed problem is symbolic regression. A special mutation operator is used for the simplification of programs. If every individual program in each generation is simplified, then the performance of the genetic programming system is slightly worsened.
openaire   +1 more source

Genetic Fitness Questioned

BioScience, 1970
Philip Siekevitz   +2 more
openaire   +1 more source

Managing Genetic Diversity, Fitness and Adaptation of Farm Animal Genetic Resources

2009
In this review, we first analyse the objectives to consider in preserving diversity, fitness and adaptability of farm animal genetic resources (AnGR), given the links between genetic diversity and fitness-adaptedness (FA) traits. Ways to measure diversity are then presented, and tools available for managing genetic diversity within given economic ...
Ollivier, Louis, Foulley, Jean Louis
openaire   +2 more sources

Genetics of Cardiorespiratory Fitness

Medicine & Science in Sports & Exercise, 2014
Meike Bartels   +3 more
openaire   +1 more source

Genetic testing in prostate cancer management: Considerations informing primary care

Ca-A Cancer Journal for Clinicians, 2022
Veda N Giri, Todd M Morgan, David Morris
exaly  

Genetic Algorithm Model Fitting

1998
Matthew Lybanon, Kenneth C. Messa
openaire   +1 more source

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