Genetic Algorithms: Harnessing Natural Selection A guest post by Eric Sawyer. Also check out Eric's own Scitable blog, Bio 2.0. 'Dissecting the next revolution in biology' ...

Some scientists believe the theory’s natural selection mechanics and inheritance principles are applicable to many fields outside of the life sciences. One of those scientists, John Henry Holland, ...

Genetic Algorithms involve three main types of rules for evolving the solutions in the population: selection rules (selects the individuals, or parents, that contribute to the population at the ...

Evolutionary optimization (EO) is a technique for finding approximate solutions to difficult or impossible numeric optimization problems. In particular, EO can be used to train a neural network. EO is ...

However, complementarity came to be seen as a principle rather than a rule in an algorithm and its use was also advocated for the former reason. Optimal solutions could be produced by reformulating ...

However, most of the AI-generated algorithms have databases with populations of European origins and they ignore the genetic and morphological diversity of human populations of around the world.

In a new study, researchers identified look-alike humans who were genetically unrelated using facial recognition (FR) algorithms for multi-omics studies.

Viability selection and genetic screening Explore the complexities of genetic screening of embryos, spontaneous abortion rates, and the impact of chromosomal abnormalities.