The approach combines a new genetic algorithm using empirical interatomic potentials to explore the configurational phase space of boundaries, and thereafter refining structures and free energies ...

We describe a genetic algorithm (GA) for designing efficient search paths, against a moving target, in complicated environments. The immediate application is acoustic search for submarines, but the ...

moPepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient manner.

Typically, standard genetic algorithms use a form of bit representation, while evolutionary algorithms use real values, but this vocabulary distinction is arbitrary.

By analyzing thousands of genetic risk variants, a new algorithm may be able to predict your risk of developing chronic kidney disease decades before onset.