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' ...

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 ...

YongSeog Kim, W. Nick Street, Gary J. Russell, Filippo Menczer, Customer Targeting: A Neural Network Approach Guided by Genetic Algorithms, Management Science, Vol ...

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, ...

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 ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

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